20 jobs found

Job Description Job Description Job Description iOS Mobile Capability Developer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: iOS Mobile Capability Developer (Computer Scientist, Level 1) Location: Columbia, MD (on-site) Category: Software Development / Mobile Embedded Platforms / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $90,000 - $110,000 (annualized USD) Experience Requirement: 1+ year with a Bachelor's degree, OR 0+ years with a Master's degree At least 1 year of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are seeking an iOS-savvy software developer to join a small, mission-impactful team building new capabilities on mobile platforms. You'll combine deep iOS internals knowledge with reverse engineering skills to design, prototype, and harden tools that solve real, hard problems. This role offers room to grow alongside experienced engineers - you'll take ownership of components from the start, and your work will be deployed and used quickly rather than sitting in a backlog. Responsibilities Develop, modify, and integrate software targeting iOS and related Apple platforms. Reverse engineer iOS applications, libraries, and platform components to inform capability design. Prototype creative solutions to complex platform-level problems and iterate based on testing and user feedback. Produce and maintain technical documentation for the tools and components you build. Collaborate with senior engineers, analysts, and end users to refine requirements and approach. Skills Requirements Hands-on experience with iOS internals. Reverse engineering experience on mobile or embedded platforms. Production-grade software development experience in at least one systems language (C, C++, Objective-C, Swift). Familiarity with Linux/macOS development environments. Familiarity with Git and Atlassian tooling (Jira, Confluence). Strong critical thinking, communication, and collaboration skills. Nice to Haves Experience with ARM assembly and low-level debugging. Familiarity with iOS exploitation, jailbreak research, or vulnerability research. Experience with embedded firmware analysis. Exposure to Android, Bluetooth, or other adjacent mobile platforms. Familiarity with GitLab CI/CD workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $90,000 - $110,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Job Description Application Developer / Reverse Engineer - Security Tools Columbia, MD Full Time TS/SCI with Polygraph Required Position: Application Developer / Reverse Engineer (Application Developer, Level 3) Location: Columbia, MD (on-site) Category: Software Development / Reverse Engineering / Security Tooling Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of software engineering experience in lieu of a degree Description You will act as a Software Engineer and Reverse Engineer to develop cutting-edge security tools in a fast-paced, agile environment. Your work will support high-impact projects where you'll work closely with analysts, data scientists, and other software engineers. You'll be expected to work largely independently, pursuing opportunities that present themselves from your research and following up with customer needs. This role will provide opportunities to quickly adapt and deploy new security products - your tools will be used within weeks, not years. Responsibilities Develop Python applications to automate analysis and operational workflows. Reverse engineer network traffic and web applications. Work with customers to collect requirements and ensure proper functionality. Coordinate with a team of software developers to incorporate new technologies and leverage shared libraries. Manage dataflow and formatting to integrate into client systems. Skills Requirements Production-grade software development experience in Python. Familiarity with HTTP, HTML, JavaScript, and other common web traffic. Experience with Burp Suite, browser developer tools, or Wireshark to monitor network communications. Service containerization and deployment with Docker/Kubernetes. Familiarity with Git/GitLab. Familiarity with AI-assisted code development (Claude Code, Copilot, Cursor, etc.). Atlassian Tools (Jira, Confluence). Nice to Haves Experience prototyping web applications (JavaScript). Experience analyzing cybersecurity-related datasets (network traffic, OS events). Experience developing or reverse-engineering mobile applications and communications. Capable of designing and manipulating GitLab CI/CD automated builds. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Please note: This role is based in Atlanta, GA. In-office presence is required four days per week. About Ntegral Ntegral is an AI-first technology company specializing in cloud marketplace solutions across Microsoft Azure, AWS, Oracle Cloud Infrastructure (OCI), and Google Cloud Platform. We operate at the intersection of automation, AI, and cloud infrastructure, delivering scalable solutions to enterprise customers through hyperscaler marketplaces. Position Overview Ntegral is seeking a Senior DevOps / Multi-Cloud Delivery Lead to own the infrastructure and automated delivery pipeline that powers our marketplace operations. The automation framework is already built and tested - this person's job is to own it, maintain it, extend it, and handle platform changes as they arise. This is a hands-on technical lead role. The right candidate is senior enough to understand complex cloud infrastructure, provide day-to-day technical direction to a junior engineer, and operate with a high degree of autonomy in a lean, AI-first environment. The ideal candidate thinks in systems - understanding how infrastructure changes ripple across multiple platforms simultaneously - and makes sound technical decisions independently, especially under time pressure. They absorb platform changes and new tooling rapidly, proactively identify risks and improvements without waiting to be directed, and bring precision to every layer of a complex automated system where small errors have downstream consequences. They are reliable, consistent, and effective at coordinating workstreams across engineering and product functions. Key Responsibilities Own, maintain, and extend Ntegral's automated marketplace publishing pipeline across Azure, AWS, OCI, and GCP Manage end-to-end build, deploy, test, and submission workflows for marketplace solutions Monitor system performance and ensure solutions operate within platform specifications and compliance requirements Handle platform updates, certification changes, and hyperscaler policy changes as they arise Provide day-to-day technical direction to the existing Azure Cloud Specialist Collaborate with the Full Stack Developer and Product Manager to align deployment timelines with product launches Analyze and resolve infrastructure issues, adapting automation to maintain efficiency at scale Document operational processes and technical procedures to support knowledge transfer and team growth Stay current with hyperscaler platform updates, certifications, and marketplace requirements across all four platforms Technical Requirements Microsoft Azure certification required (AZ-104 Administrator Associate or AZ-400 DevOps Engineer Expert preferred) AWS certification required (AWS Certified DevOps Engineer - Professional or AWS Certified SysOps Administrator) GCP and OCI certifications preferred (OCI certifications available through Oracle University) Proficiency in infrastructure-as-code tools (Terraform, Ansible, or equivalent) Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployment Proficiency in scripting languages (Python, Bash, or equivalent) AI literacy is required. Must be comfortable working in an environment where automation and AI tools are core to daily operations (e.g., using AI-assisted development tools, writing and refining prompts, and critically evaluating AI-generated output as a standard part of workflows) Demonstrated experience managing multi-cloud environments across two or more hyperscalers Preferred Qualifications Experience with hyperscaler marketplace publishing (Azure Marketplace, AWS Marketplace, OCI Marketplace, or GCP Marketplace) Experience providing technical direction to junior engineers or contractors Familiarity with SEO standards for marketplace listing optimization Education & Experience Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent work experience. A minimum of 5 years of DevOps or cloud infrastructure experience required, with at least 2 years in a senior or lead capacity managing multi-cloud environments. Powered by JazzHR G1ynTDbN0V

Job Description Job Description Job Description acuCyber is seeking a Senior DevOps Engineer to build, automate, and maintain the cloud infrastructure and secure deployment environments supporting mission applications and core services. This role combines infrastructure as code, Kubernetes deployment, and automated security testing within Amazon Web Services (AWS) environments. The engineer will work closely with software developers to establish consistent environments and move services into reliable, scalable deployments. Candidates should understand how cloud infrastructure, container orchestration, networking, and security controls work together. We are looking for hands-on experience designing and operating these environments, with an emphasis on automation, troubleshooting, and improving software delivery. This role is full time on Government site. Charleston, SC preferred but highly qualified candidates in the National Capital Region (NCR) will also be considered. What You'll Do: • Build, automate, and maintain AWS infrastructure supporting development, integration, testing, and operational deployments. • Develop infrastructure as code and Ansible automation to create repeatable deployments, maintain consistent configurations, and reduce configuration drift. • Deploy and operate containerized applications using Kubernetes and Red Hat OpenShift, addressing scalability, availability, networking, resource management, and persistent storage. • Build and maintain continuous integration and continuous delivery (CI/CD) pipelines that automate software builds, testing, security checks, and deployments. • Configure and maintain the DevOps toolchain, including container registries, artifact repositories, and environment configurations. • Integrate automated security testing into delivery workflows and work with developers to remediate vulnerabilities and pipeline performance bottlenecks. • Support AWS GovCloud deployments and environments subject to Department of Defense Impact Level 5 (IL5) requirements. • Implement monitoring, centralized logging, and alerting to support troubleshooting, capacity planning, and service reliability. • Configure platform access controls and integrate secrets management and certificate handling into deployment workflows. • Troubleshoot issues involving Linux systems, cloud networking, permissions, storage, and container orchestration. • Automate patching, deployment validation, rollback, and recovery procedures. • Document pipeline configurations and operational procedures, contribute to implementation plans and security testing reports, and help developers use the delivery environment effectively. • Evaluate tools and deployment approaches through proof-of-concept testing and improve deployment speed, vulnerability remediation, automated testing, and service availability. , Required Skills • 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 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 experience building and operating AWS infrastructure, including compute, networking, storage, and Identity and Access Management (IAM). • Experience deploying and managing Kubernetes workloads, including service networking, persistent storage, scaling, and troubleshooting. • Experience developing Ansible automation and maintaining infrastructure as code. • Experience building and maintaining CI/CD pipelines and integrating automated security testing into software delivery workflows. • Strong Linux administration and troubleshooting skills. • Experience automating infrastructure and operational tasks using Python, Bash, or comparable scripting languages. • Experience with Git and version-controlled infrastructure and configuration management. • Ability to diagnose issues across cloud infrastructure, container platforms, and application deployments. • Agile Developer certification or Certified Scrum Developer certification is required. , Desired Skills • 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. • Meet DoD 8140 / 8570 IAM Level II or III baseline requirements (such as CISSP, CISM, CAP/ISC2 CGRC). • Red Hat OpenShift: Experience with application deployments, cluster configuration, access controls, networking, and workload security. • Government cloud environments: Experience with AWS GovCloud and deployment constraints associated with Department of War Impact Level 5 environments. • Infrastructure automation: Experience with Terraform, AWS CloudFormation, or comparable tools, along with reusable Ansible roles and playbooks. • Security tooling: Experience integrating static and dynamic application security testing, dependency checks, and container image scanning into delivery pipelines. • Stateful services: Experience deploying and supporting databases or search platforms, including storage configuration, backup and recovery, and availability. • Platform security: Experience integrating enterprise identity services, managing secrets, and automating certificate deployment and renewal. • Reliability and recovery: Experience implementing health checks, resource monitoring, rollback procedures, and tested recovery processes. • Relevant certifications: AWS, Kubernetes, Red Hat, or infrastructure automation certifications. , Additional Details Why Join acuCyber • Competitive compensation and performance incentives • Full benefits package: health, dental, vision, 401(k) with match • Paid time off and short-term disability coverage • Purpose-driven, clearance-respecting culture • Opportunities for professional growth and leadership acuCyber is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. , About acuCyber At acuCyber, cleared tech talent fuels the future of national defense. As a respected and fast-growing player in the DoD and federal contracting space, we deliver advanced cybersecurity and digital solutions that protect vital systems and drive mission success. Our team of cleared engineers, developers, and cyber experts work hands-on with secure environments, and zero-trust architecture. In return, you'll join a mission-first culture with real growth opportunities and solid benefits: competitive health coverage, 401(k), PTO, short-term disability, and more. If you're ready to level up your skills and contribute to projects with purpose, acuCyber is where your clearance counts.

Job Description Job Description Senior Functional and Automated Tester - Minimum of 13 years of experience (Location is Remote): Description: The Senior Functional and Automated Tester plans, designs, and executes functional and automated testing for modern applications, with a focus on quality, security, performance, and operational readiness. This role works closely with product, development, DevSecOps, and stakeholders to ensure solutions meet business requirements and are released with confidence. The tester leads test strategy and automation approaches, drives defect prevention through early engagement, and helps establish consistent testing standards across teams and projects. Key Responsibilities Lead or contribute to project planning by identifying testing scope, risks, environment needs, test data requirements, and tooling to support delivery timelines. Translate business and technical requirements into test strategies, test plans, and detailed test cases, covering functional, integration, regression, performance, and security-related validation. Design and build automated tests (unit, API, integration, and user interface) using a disciplined approach that supports repeatable and reliable execution within a continuous integration/continuous delivery (CI/CD) pipeline. Perform hands-on functional testing of workflows, edge cases, data validations, and error handling; verify that solutions meet user and operational expectations. Validate event/message-based services and distributed workflows, including systems that use message queues such as Apache Kafka, ensuring correct processing, resiliency, and traceability. Test and validate API-centric and cloud-friendly designs (microservices, serverless applications), including backward compatibility, contract expectations, and integration with internal and external partners. Partner with DevSecOps and engineering teams to ensure consistent application of development standards, procedures, and processes, including secure development expectations. Support system compatibility and environment readiness by coordinating with technical teams on test environments, deployments, configuration changes, and release readiness. Apply data security procedures in testing activities; identify potential data security risks and ensure defects and risks are documented, escalated, and tracked through resolution. Produce and maintain clear testing documentation (test evidence, defect reports, dashboards, charts/diagrams, and runbooks as needed) suitable for leadership and audit reviews. Drive defect triage and root-cause analysis with developers and stakeholders; verify fixes and help implement preventative quality controls. Promote strong operational practices including observability validation (logging, metrics, tracing), performance baselines, and readiness checks. Use AI-assisted development and testing workflows (where approved) to accelerate test creation, analysis, and triage while maintaining quality and security expectations. Perform other job-related duties assigned to support delivery and operational goals. Required Skills Strong experience leading and executing functional testing and test automation across the software development lifecycle. Proven ability to define and implement an effective test strategy for distributed/cloud applications, including regression planning and release readiness. Experience with automated testing tools for unit, API, and user interface testing; familiarity with test-driven development (TDD) concepts and automation-first approaches. Experience working in CI/CD pipeline environments using source code management and build/deployment tooling (for example: GitLab, Jenkins) within a DevSecOps/SecDevOps culture. Working knowledge of secure coding and secure engineering expectations, including risk identification and validation of security controls. Experience validating message/event-driven systems, including Kafka-based workflows and asynchronous processing behaviors. Experience testing API-centric architectures such as microservices and serverless applications, including contract validation and integration testing. Cloud and data pipeline familiarity, including one or more of the following: Dataflow, Pub/Sub, Redis. Strong troubleshooting skills, including analyzing logs/metrics/traces, isolating failures across components, and supporting defect triage. Solid technical fluency in one or more languages used for test automation and validation, such as Java, Python, SQL, and/or JavaScript (and familiarity with modern web stacks such as React is a plus). Knowledge of performance and reliability concepts, including performance tuning, multi-threading awareness, and validation of high observability principles. Strong communication and stakeholder management skills, including the ability to explain quality risks and recommendations clearly to technical and non-technical audiences. Preferred Qualifications Experience working in Agile delivery teams and applying Software Development Life Cycle (SDLC) practices. Familiarity with change/configuration management and lifecycle tooling (for example: VersionOne, ServiceNow) and Application Lifecycle Management (ALM) practices. Hands-on experience with containerization and orchestration (for example: Docker, Kubernetes), including security and environment considerations. Experience with Kubernetes security practices and testing in containerized production-like environments. Familiarity with AI-assisted development/testing tools such as OpenCode, Claude Code, and Gemini Vertex AI to improve efficiency in test creation and analysis (within approved governance). Experience producing test evidence and documentation suitable for audit or compliance reviews. Additional Required Skills/Experience • A minimum of Thirteen (13) years experience in software development, software quality assurance/control, and/or related field; • A degree from an accredited College/University in Software Engineering, Computer Science, or related discipline is preferred; • Able to perform all functional duties independently on high-visibility programs, or mission critical aspects of a given program; • Able to oversee the efforts of direct reporting resources and/or be responsible for the efforts of all staff assigned to a specific job; • Experience training/mentoring less experienced personnel; • Extensive knowledge of and experience with formal software testing for complex software applications; • Extensive experience testing software applications, identifying/documenting defects, and working with developers and end users to resolve defects; • Extensive experience with multiple defect tracking tools (e.g. Rational, Mercury); • Extensive experience authoring software-quality-related documentation such as requirements specifications, test plans, test cases, test scripts and test reports; • Able to obtain Postal clearance; • Excellent communication skills. Additional Provisions: • Pass both a client mandated clearance process to include drug screening, criminal history check and credit check. • Once candidate's resume is approved and interview passed, the agency is responsible for providing drug screening. Failure to submit the drug screening results will delay the security clearance process. • If a candidate is given an interim clearance, continuation of employment is then based on the candidate receiving a sensitive clearance. • All candidates must be a US Citizen, or have permanent residence status (Green Card). • Candidate must have lived in the US for the past 5 years. • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.) • All overtime must be pre-approved in writing by the client manager or his/her designated representative. • Agency will not be reimbursed for overtime charges without previous written authorization. Authorized overtime will be reimbursed at straight time. • The enforced dress code is business casual, i.e. collared shirt with slacks for men, no skirts above the knee for women. Place and Period of Performance • Hours of support: o The standard work week for contract staff will be 5 days a week and 8 hours per day preferable Monday through Friday. o Contract staff may be required to travel to support business efforts.

Job Description Job Description Contract to Hire - This position is not eligible for visa sponsorship, either now or in the future. Hybrid work model, mostly remote; on-site in Phoenix, AZ for design/whiteboard session as needed. Candidate must currently reside in Arizona - no relocation allowed. Candidate must attend an in-person interview. Candidate must provide AZ Driver's License as proof of residency. Candidate must use their own personal laptop with a Windows workstation for remote access. Candidate must work AZ time zone business hours. All work must be completed in the United States. Our direct client has an opening for a Software QA Automation Lead # 8377. This position is for 6 months contract to hire and will be worked in a hybrid schedule on-site in Phoenix, AZ as needed - however mostly remote. All work must be completed in the United States. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Rate Range is $50-63/hr W2 or $55-67/hr Corp to Corp - Direct with candidate ONLY - No Subcontractors Allowed Below is the job description - Resumes due ASAP - Resumes Due by Monday, October 13 Required Skills: 3+ years in a technical leadership or lead automation engineer role. MUST have Leadership experience Behavior-Driven Development (BDD) using Gherkin or Cucumber JavaScript, PowerShell, Python, Bash, or Ruby experience Experience with Spring Framework Preferred Skills: Grafana experience Container Architecture: Docker or Kubernetes Experience with Azure, AWS, or GCP Maven AI experience Jira Confluence Description: Lead the quality platform behind mission-critical software at ASRS. Partner directly with architects to fix today's framework pain, modernize our stack, and hard-wire a true shift-left culture-while piloting AI-assisted testing to boost coverage, speed, and confidence. What You'll Do Own the quality platform: Set strategy, architecture, and standards for automation-Java today, with pragmatic evolution to modern UI/API automation where it improves reliability. Embed quality early: Drive PR-level tests, contract/API checks, and CI/CD quality gates for rapid, trusted developer feedback. Apply AI where it counts: Use AI/LLM-assisted test generation, self-healing locators, flake triage, and test-impact analysis to reduce toil and raise signal. Simplify the SDLC: With DevOps, streamline pipelines, test data management, environment provisioning, and release guardrails for faster flow. Solve hard problems with architects: Tackle cross-cutting issues (auth, data, performance, flakiness) and retire tech debt with durable solutions. Build the right tests: Expand reliable web/UI, API, and integration coverage; harden environments and test data. Coach and elevate: Mentor QA engineers, review automation code, and set standards for readability, reliability, and maintainability. Measure what matters: Stand up live dashboards (coverage, pass/fail, flakiness, MTTR) to inform decisions and continuously raise the bar. Own root cause: Lead deep-dive debugging across test and prod, driving prevention-not just fixes. Your Toolbox (What We Use & Value) Languages/Frameworks: Java, JUnit, Maven; BDD with Cucumber/Gherkin. Automation: Selenium WebDriver (today); informed experience with Playwright (Java/TypeScript) a plus. CI/CD & SCM: Jenkins, GitHub Actions; GitHub for collaboration. Observability & Metrics: Grafana (quality and performance dashboards). Backend/Platform context: Spring Boot/Spring Security; Oracle DB; FileNet/content systems. Scripting: PowerShell or similar for utilities. Quality practices: Testing pyramid, risk-based design, code reviews, and environment parity. Where We're Headed (And Where You'll Lead) GitHub-native CI/CD: Standardize on GitHub pipelines for frequent, automated deployments-define branch strategy, environment promotions, and reusable workflows that make shipping safe by default. Reliable testing for high velocity: Build a strategy that scales with cadence-PR checks, contract/API tests, fast UI smoke suites, test-impact analysis, deterministic data & ephemeral envs, parallelization, and rigorous flake control. AI-assisted, data-driven quality: Apply LLM-assisted test generation/self-healing and enforce quality gates backed by live dashboards (coverage, flakiness, MTTR, DORA) to boost signal and confidence. Framework evolution (tool-agnostic): Evaluate and pilot modern UI/API automation options against clear criteria (reliability, speed, parity, maintainability, ROI) and recommend phased adoption that protects delivery. What You Bring 10+ years in QA/automation with 5+ years leading/architecting frameworks. Proven success embedding automated quality gates into CI/CD for high-velocity releases. Track record mentoring engineers and raising the bar on code quality and test design. Comfort collaborating with architects and senior engineers on systemic quality problems. Nice-To-Have Experience introducing AI tooling (e.g., Copilot, test-gen, self-healing) into real teams. Performance, security, or contract-testing exposure. Work Setup & Logistics Hybrid: Mostly remote; design/whiteboard sessions in Phoenix as needed. Equipment: Personal laptop required; Windows workstation provided for remote access. Eligibility: Must be AZ-local and able to work for any U.S. employer (no sponsorship).

This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As an Engineer, Investment Technology, you will be working on the application team that builds and supports Separately managed accounts platform. The Fixed Income SMA team relies on high-quality data pipelines and internal tooling to support portfolio management, trading, and research workflows. We are adding a Senior Data Engineer to help build and maintain the data layer behind these systems, with a particular focus on reliable ingestion, data modeling, analytical datasets, and practical internal applications. This role sits within Investment Technology but will work closely with the SMA quantitative research and engineering team. This role is a chance to help shape the data foundation for a fast-growing front-office platform while working closely with a highly technical investment-facing team. The work is practical, visible, and directly connected to trading, research, and portfolio outcomes. Responsibilities of the Role: Build and maintain data pipelines ingesting from internal systems, market data vendors, and operational databases into analytical and application-facing stores Design and manage PostgreSQL and analytical data models that support front-office workflows and quantitative research Develop production Python and SQL code for ETL, validation, enrichment, and data quality monitoring Build and maintain lightweight internal applications and reporting interfaces, including browser-based tools using JavaScript where helpful Support research and analytics workflows involving large financial and time series datasets Partner with quantitative developers and investment users to improve data usability, transparency, and operational reliability Requirements of the Role: 4+ years of experience in data engineering, analytics engineering, or software engineering with a strong data focus Strong Python experience required. Experience with relational databases; PostgresSql / Snowflake experience is a plus. Experience designing and operating ETL pipelines and data models in production Familiarity with dbt, AWS, Docker, Kubernetes (EKS), Kafka, Redis, and cloud data infrastructure is preferred Experience working with financial, transactional, or time series data is strongly preferred Some JavaScript experience for internal tools, dashboards, or data-grid-based interfaces is preferred Solid software engineering habits around testing, code quality, debugging, and documentation The salary range for this position in New York City is $115,000 - $140,000 /year Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems powering Braze while helping redefine how employees interact with IT through conversational experiences, automation, and self-service. You'll lead complex technical initiatives from concept through delivery, building integrations that span platforms such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other critical business systems. You'll partner closely with Security, Infrastructure, Product, and IT teams to build reliable, scalable solutions that reduce operational overhead and improve the employee experience. This role goes beyond traditional system engineering. We're looking for someone who enjoys solving business problems through software, APIs, automation, and AI. You'll help shape our long-term strategy around enterprise integrations, intelligent workflows, and agentic experiences that enable employees to get work done faster and more intuitively. You'll be part of a team that values reliability, resiliency, scalability, extensibility, and thoughtful engineering. We operate with a shared sense of ownership, continuously look for opportunities to automate manual work, and embrace emerging technologies that allow us to scale efficiently while delivering exceptional internal experiences. If you enjoy designing enterprise architecture, building integrations, and leveraging AI to modernize how organizations operate, we'd love to meet you. You'll lead initiatives that shape the future of enterprise technology at Braze, including: Enterprise Automation & AI: Design and build intelligent automation that streamlines business processes across enterprise platforms. Leverage AI, agentic workflows, and modern integration patterns to reduce manual effort, improve operational efficiency, and enhance employee productivity Enterprise Integrations: Design and develop scalable integrations across platforms including Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications. Build APIs, middleware, and event-driven workflows that create seamless employee experiences Conversational IT & Self-Service: Help evolve how employees interact with IT by building conversational interfaces and self-service experiences that reduce reliance on traditional ticket-based workflows while improving service delivery and employee satisfaction Enterprise Platform Architecture: Design scalable, resilient solutions that improve how enterprise platforms communicate and operate together. Evaluate architecture decisions with long-term maintainability, extensibility, and operational excellence in mind AI Platform Enablement: Evaluate, pilot, and implement emerging AI technologies, large language models, MCP integrations, and agent frameworks that enable intelligent automation across enterprise systems while establishing best practices for responsible adoption Automation & Developer Experience: Build reusable automation frameworks, integration services, and internal tooling that accelerate delivery, reduce operational toil, and improve the maintainability of enterprise platforms Governance & Operational Excellence: Partner with Security, Compliance, and Infrastructure teams to ensure enterprise solutions meet governance requirements while maintaining simplicity, scalability, and operational maturity. Document architecture, implementation decisions, and operational processes following governance and compliance standards Innovation & Emerging Technology: Continuously research emerging technologies, integration capabilities, and AI advancements that can improve scalability, reduce operational complexity, and create new opportunities for automation Strategy & Technical Leadership: Contribute to enterprise platform strategy and long-term technical roadmaps. Provide technical leadership on complex initiatives while mentoring engineers on automation, integration, and software engineering best practices WHO YOU ARE 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments Strong software engineering background with experience building APIs, integrations, automation, or platform services Proficient in one or more programming languages such as Python, Go, TypeScript, or JavaScript Experienced working with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards Familiar with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar SaaS ecosystems Skilled in designing scalable architectures that balance business requirements, security, and operational simplicity Experienced collaborating across engineering, security, infrastructure, and business teams to deliver impactful technical solutions Passionate about leveraging AI, automation, and software engineering to solve operational challenges Curious, collaborative, and motivated by continuous improvement and thoughtful systems design Bonus: Experience implementing AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms Experience with Terraform, Infrastructure as Code, or cloud automation tooling Experience with event-driven architectures, message queues, or serverless technologies Experience integrating Workday, Okta, Atlassian Cloud, Slack Platform, GitHub Enterprise, or Google Workspace APIs Familiarity with cloud platforms such as AWS, GCP, or Azure Experience building internal developer platforms or enterprise integration frameworks Experience supporting high-growth SaaS organizations with complex enterprise technology environments For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $104,000 and $164,000/year with an expected On Target Earnings (OTE) between $115,000 and $182,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.

Job Description Job Description Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment options, innovative technology, and dedicated client service. We focus on making choices clearer, transitions smoother, and the client experience more delightful. Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our clients, be an excellent business partner, and earn the trust of those who rely on us. The Role Great Gray is looking to add a Senior QA Automation Engineer on our Technology team. As a Senior QA Automation Engineer, you will play a crucial role in championing the quality and reliability of our software by building and maintaining robust automated testing solutions and integrating them into our development process. As a cornerstone part of a cross-functional, agile delivery team you will serve as the champion of quality with full understanding that all members of the team will take their cues from the examples you set. Our teams are empowered to take great latitude with their own process, procedures, and practices but this comes with the implied responsibility for their own outcomes. In this role, you will be uniquely situated to define what "good" looks like and hold us all responsible to get across that line. Location This position will work from our Boston, MA office. Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Visa sponsorship or transfer of an existing visa is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer. Responsibilities Collaborate closely with developers, product managers, and stakeholders to define clear testing objectives, user stories, and acceptance criteria. Design and architect new automated test suites, and right-sizing solutions to match business needs. Seamlessly integrate automation into CI/CD pipelines to improve efficiency and deployment outcomes. Curate an organized testing strategy to ensure a high-reliability development and deployment environment to support our engineers. Triage and troubleshoot bugs, continuously refining testing strategies to enhance defect detection. Perform various forms of functional and non-functional testing, including performance, load, and security testing. Execute manual testing where necessary to complement automated coverage and validate edge cases. Operate as the business expert in a fast-paced, cross-functional scrum team. Required Qualifications & Experience Bachelor's degree and 5+ years of testing and automation experience, responsible for test design and development. Proficiency with Cypress, Selenium, or Playwright for UI automation. Experience with REST/Web API testing using tools like Postman, SoapUI, or JMeter. Knowledge of performance and load testing methodologies and techniques. Basic understanding of relational database testing (SQL Server) and ability to write SQL queries and manipulate datasets. Working knowledge of cloud-hosted web applications and CI/CD integration. Your standards reflect our core values: Growth Mindset, Disciplined Curiosity, Grit, Results Ownership, Collaboration. Preferred Qualifications & Experience Bachelor's degree and 7+ years of testing and automation experience. Experience building from-scratch test suites and integrating them into CI/CD pipelines. Extensive experience with cloud-based, multi-tenant SaaS platforms. Fintech experience, including knowledge of security, compliance, and regulatory procedures and processes. Experience with both Azure and AWS. Proficiency in React, Angular, and C# based platforms. Experience with SQL automation and Test data management. Experience working with containers for test isolation (Docker). Able to thrive as part of a cross-functional software engineering team (including nearshore and offshore components). Comfortable navigating ambiguity in a dynamic, fast-paced environment. Entrepreneurial mindset to bring best practice ideas to the team. Tech Stack Our current tech stack is a blend of existing and next-gen tools/languages, and like our company itself, our software is always evolving. Frontend: Angular, React Backend: C# .NET Data Layer: MSSQL, Python, Postgres, Databricks Infrastructure: Azure cloud Tooling: Cypress, Docker, GitHub, Cursor, SonarQube Base Pay Range $120,000-$160,000 This base pay range is subject to change and may be modified in the future. The pay range displayed above is the base pay compensation range that Great Gray expects to pay for this position at the time of this posting. Individual compensation within this range, or that may warrant a provision for pay beyond this range, depends on multiple factors, including, but not limited to, candidate's prior education and relevant work experience and training as well as position location and local market demands. Our pay-for-performance culture also includes participation in an annual incentive bonus plan for this position which is not included in the 'Base Pay Range' noted above. Benefits We have a comprehensive and competitive benefits package at Great Gray. Some of the highlights are: Be an integral part of a high-growth organization! Competitive compensation package Group medical, dental and vision insurance Employer-paid life and disability insurance Annual well-being stipend Eligible employees may also contribute to a 401(k) plan with an advantageous employer contribution model, upholding our mission to support our employees in retirement Company Background Great Gray is the leading independent provider of trustee and administrative services to Collective Investment Trusts ("CITs"), with over $385 billion in CIT assets under management, across more than 1,045 funds. We proudly work with more than 80 subadvisors, including leading firms such as AllianceBernstein, American Funds, BlackRock, Franklin Templeton, MetLife, Neuberger Berman, PGIM, PIMCO and Raymond James. CITs are more than just an investment vehicle. They represent a forward-thinking approach to retirement planning. These tax-exempt, pooled investment vehicles are offered to employer-sponsored retirement plans, like 401(k)s. CITs are comparable to mutual funds, but, because they are tailored for the institutional retirement market, they can offer distinct advantages, including efficient administration and cost-effectiveness. CITs have a history dating back over 90 years; but they have gained favor over the past decade, driven by innovations, and Great Gray has been at the forefront. Great Gray has consistently delivered year-over-year growth at an above market rate and is investing in the continued development of its core CIT business as well as complementary administrative services and technology solutions for the retirement market. Madison Dearborn Partners ("MDP") purchased Great Gray from Wilmington Trust in April 2023. As a result, Great Gray is an independent company owned by funds affiliated with MDP. Investor Background MDP is a leading private equity investment firm based in Chicago. Since MDP's formation in 1992, the firm has raised aggregate capital of over $37 billion and has completed over 160 platform investments across nine flagship funds. MDP invests across five dedicated industry verticals, including financial services, healthcare, technology and government services. Equal Employment Opportunity Policy Great Gray Group, LLC 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, disability status or other non-merit factor. Accommodation Statement Great Gray is committed to ensuring individuals with disabilities and/or those who have special needs participate in the workforce and are afforded equal opportunity to apply and compete for jobs. If you would like to contact us regarding the accessibility of our website, need assistance completing the application process, or need to request an accommodation for any part of our application or interview process, please contact us at:

Senior / Lead .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Openings: 2 (1 Senior .NET / 1 Lead .NET) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). Ideal LEAD Candidate (leading teams of 5+): The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Lead Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - C# / .NET Core Development Building / Maintaining Production-Grade Applications / APIs / Services Cloud Modernization - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads (Beyond Portal-Based "Click-Ops") AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools / Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Azure DevOps - Building / Maintaining YAML-Based CI/CD Pipelines (Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services) Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights With Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Identity / Security (Azure) - Implementing Secure Patterns (Managed Identities / Entra ID / RBAC / Secure Connectivity / Polly Retry Policies / Private Endpoints / VNET Integration) within .NET Services Observability / SRE Practices - Applying SRE Principles within Development (Application Insights / Log Analytics / Alerting / Performance Monitoring / Production Troubleshooting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (CosmosDB) SQL Scripting (hands-on) Designing / Evolving Database Schemas Performing Query Performance Analysis Indexing to Deliver Scalable / Performant Services Problem Solving / Collaboration - Driving Root Cause Analysis / Debugging for .NET Applications in Azure Collaborating within SRE / Cross-Functional Teams PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

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.

Now Brewing - Engineer (Senior+)! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but also created a sense of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a senior or lead Engineer, you'll play a critical role in delivering high-quality, reliable, and secure technology that enables teams across Starbucks to build, release, and operate software with confidence. This advanced role focuses on owning complex engineering capabilities end-to-end-partnering across business and technology teams to improve reliability, scalability, and operational excellence. As an Engineer, you will Design and operate reliable systems at scale by implementing high-availability solutions, service monitoring, deep telemetry, and automation to ensure performance, resiliency, and continuous availability. Enable strong engineering delivery by supporting development teams, resolving complex technical and developer issues, and engineering robust build and release processes. Ensure security and compliance by design through stable, secure application and infrastructure solutions, maintaining hardened configurations and baselines, and upholding company policies and regulatory requirements. Influence technical direction and standards by researching and recommending tools, platforms, and best practices, and partnering across teams and vendors to improve outcomes. We'd love to hear from people with: 4-10 years of professional experience in software development or systems engineering Bachelor's degree in Computer Science or a related field Preferred programming languages: one or more of Python, Java, Go, C/C++, Ruby, or Perl (especially for automation, tooling, and systems work) As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to . If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge and skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state, and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact or .

Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.