Jobs

Company Overview

Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.

Position Overview

Pantheon Data is seeking a Senior AWS DevSecOps Engineer to design and operate in a secure, cloud-native platforms within AWS GovCloud. This role focuses on supporting ML-enabled workloads and applications processing CUI, PII, and PHI. The candidate will automate gated security controls across CI/CD pipelines using GitHub Advanced Security (GHAS) or GitLab CI/CD and administrate production-grade Amazon EKS clusters via GitOps methodologies under strict federal compliance frameworks (NIST 800-53, FedRAMP, DoD SRG).

Responsibilities

Secure Infrastructure: Design hardened AWS GovCloud environments using Terraform, ensuring alignment with NIST 800-53 and FedRAMP baselines.Kubernetes & GitOps: Manage lifecycle, networking, and security for Amazon EKS clusters. Orchestrate deployments using Helm charts and GitOps tools (e.g., Argo CD or Flux) to ensure declarative state management.Secure CI/CD Engineering: Design and implement robust CI/CD pipelines using GitHub Actions or GitLab CI/CD. Integrate and configure GitHub Advanced Security (GHAS) and additional relevant tools, including CodeQL for SAST, secret scanning, and dependency review.ML Workload Support: Deploy and scale containerized ML mode

I am hiring a DevSecOps Engineer on behalf of a German cyber-security consulting and service company focused on cyber defense and security, helping organisations detect, defeat and prevent cyberattacks through professional services, automation, and research-driven solutions. The team values innovation, creativity, and a collaborative working environment that embraces New Work principles and gives employees autonomy and room to grow.

In this role you will be responsible for:

Design, build and manage secure, scalable infrastructure solutions, including complex cluster architectures and automated workflows.
Collaborate with cross-disciplinary teams such as cybersecurity specialists, ML engineers, and consultants to deliver integrated technical solutions.
Develop and implement automation solutions using Ansible, GitOps, and related tools to streamline DevOps and DevSecOps processes.
Support continuous improvement of security processes and tooling, driving DevSecOps best practices throughout development and operations.
Provide hands-on technical contribution, taking ownership of initiatives and working autonomously while contributing to team success.

This role is remote in Germany.

Essential:

Hands-on experience in DevSecOps or related engineering roles, with practical skills in cloud and security-driven automation.
Strong expertise with Kubernetes and cluster architecture, as well as familiarity with DevOps automation tools (e.g., Go, Python, Ansible, GitOps workflows).
Ability to creatively solve problems and independently drive technical topics forward.
Excellent communication skills, including the ability to explain security issues clearly to technical teams and stakeholders in both German and English – minimum C1 level German
Analytical and structured approach to problem-solving and continuous improvement of security practices.


Company Benefits:

Young & forward-thinking team: Join a dynamic, agile, and collaborative

OverviewAt Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practiceservant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Credence has an immediate need for a DevSecOps Engineer to support the U-2 Airframe Forecasting Dashboard. We are supporting the Air Forceby developing a forecasting dashboard powered by AI. This will be delivered initially as a Minimum Viable Product (MVP) in IL-2, with plans to scale to IL-4 in AWS. The product will feature chatbots, dashboards, alerts/notifications, and reports, focusing on demand forecasting, inventory and stock issues, maintenance tracking, and data analysis.

Responsibilities include, but are not limited to the duties listed belowUnderstand and remediate complex issues and topologies of large enterprisesDevelop Ansible playbooks, roles, and modulesDefine and setup the process for managing Ops developed playbooksAdminister Ansible infrastructure, perform maintenance and configuration and provide SME level support.Auto configuration of standalone or cluster for middleware and database infrastructures, including the provisioning of Middleware and Database components after system builds.Generate auto start/stop scripts, auto registration to load balancers, creation / cloning of database schemas using Ansible.Generalize the ops playbooks for other environments and feedback / handover to the Platform Solutions team (where appropriate).Provide advice and recom

Role: QA Automation Engineer with Tosca and AI

Location: Atlanta, GA

Hybrid
Contract
We are seeking a skilled QA Automation Engineer with strong experience in test automation frameworks and a passion for delivering high-quality software.

Key Responsibilities:
Design, develop, and maintain automated test scripts using Selenium Collaborate with development and QA teams to understand requirements and define test strategies Execute automated test suites and analyze results to ensure product quality Contribute to continuous improvement of test automation frameworks and processes Adapt to evolving automation tools and technologies, including potential migration to tools like Tosca Required Skills:
Hands-on experience with Selenium WebDriver Strong understanding of automation frameworks and testing methodologies Experience with programming languages such as Java, Python, or similar Familiarity with CI/CD tools and version control systems (e.g., Git) Preferred Skills:
Exposure to Tricentis Tosca or willingness to learn scriptless automation tools Basic knowledge or exposure to AI/ML in testing (e.g., self-healing scripts, intelligent test generation) Experience working in Agile environments Nice to Have:
Experience with API testing tools (Postman, RestAssured) Knowledge of performance or security testing tools

QA Automation Engineer (AI/ML Focus) - 10 + Yrs
Atlanta, GA (100% Onsite)
6 + Months
In-Person Interview Required!

Stack: Playwright, Cypress, Selenium, Postman, CI/CD
Languages: Java, Python, TypeScript, or C#

QA Automation Engineer focused on building automated test frameworks and ensuring product quality across UI, API, performance, and AI/ML systems.

Key Tasks:
Build UI/API automated regression suites.
Test AI/ML workflows and endpoints.
Manage quality systems and compliance.

Requirements:
10+ years in QA (5+ years in Automation).
Direct experience testing AI/ML systems.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Join Pinterest as the Vice President of Ads Quality Engineering, where you will lead our AIML engineering division and drive the enhancement of our ads delivery funnel. With a minimum of 15 years of relevant industry experience and a strong background in machine learning and generative AI, you will oversee a globally distributed team of 200+ AI/ML engineers and collaborate closely with engineering and product leadership to shape and execute Pinterest's monetization strategy.

At Gusto, were on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.

About the role

Gusto’s AI/ML Eng team leverages our rich dataset to guide product direction and decision-making by building the right solutions at scale. We’re looking for a senior technical leader (individual contributor) who will design robust AI/ML systems and services through close partnership with seasoned leaders across Engineering, Product, Design, Data Science, Marketing, and Customer Excellence. This means you will also define the strategy along with shipping impactful models and services to evolve our AI/ML capabilities and practices.

We have several open roles across two embedded areas:

Unified Service Platform optimizes our customer experience, creates personalized engagement moments, and drives automated or AI enhanced assistance. We develop AI tools and platform components (ex. embedding algorithms) to improve performance and customer satisfaction.Growth builds AI/ML-powered experiences that drive relevant, timely product adoption. Our team enables contextual customer interactions through growth-oriented capabilities like propensity modeling and recommendations.Here’s what you’ll do day-to-day

Design and develop scalable, production-grade AI/ML models and services for complex business and customer experience problems.Lead technical strategy and architecture for key AI/ML domains, including model lifecycle, observability, safety, and evaluation.Collaborate cross-functionally to identify high-leverage AI/ML opportunities, translate them into actionable roadmaps, and deliver measurable outcomes.Build, harden,

AI EngineerConsultant

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on August 30, 2026Work You'll Do:

As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.Key Responsibilities:

Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telem

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

On the Money Movement team, we’re building the core infrastructure for stablecoin-based payments, enabling fast, secure, and scalable transfers across borders and platforms. This work underpins how value moves across the Coinbase ecosystem and beyond.

As a Senior Software Engineer on the CDP Payment Risk team, you will design, build, and scale the real-time risk infrastructure that protects Coinbase’s developer payment flows — including fraud detection and transaction scoring across multi-currency, cross-border payouts. Beyond core backend engineering, this role requires hands-on ownership of ML systems: developing risk models, data pipelines, and integrating state-of-the-art LLM a

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:
• Design, develop, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
• Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
• Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
• Translate business and user needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering workflows to support model training and inference
• Evaluate model performance, bias, drift, and reliability; iterate based on results
• Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
• Contribute to architecture decisions around model serving, scalability, and cost optimization
• Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you’ll bring:

The Opportunity

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.  

What You’ll Do
• Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
• Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
• Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
• Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027
• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
• Strong analytical and quantitative problem-solving ability.
• Ex

AI/ML engineer/Architect - Gemini App Developer

Chicago IL

We need AI/ML engineer/Architect with hands on exp in Gemini app development

Gemini App dev-JD :
• As an AI Agent Integration developer you will be responsible for designs, builds, and deploying intelligent AI agents that perform autonomous tasks such as reasoning, planning, decision-making, and interaction.
• These agents often leverage large language models (LLMs) and integrate into applications like chatbots, automation tools, or SaaS applications.
• You will be responsible in working closely with business users and application teams in developing and deploying AI agents using Enterprise AI tools such as Google Gemini, DevRev and Sierra.
You will also act as a subject matter expert and provide guidance, thought leadership, brainstorming and ideas on how to improve and make agents better or improve flows to applications and data that
the AI agent will leverage.

Networking group develops control plane and data plane Networking stacks for Apple’s innovative including iPhone, iPad, Apple TV, iPod, and Mac OS. Leveraging adaptive machine learning techniques this group continuously enhances the user’s Network connectivity experience

Description

Networking Quality Assurance (QA) team is looking for a passionate software quality engineer to join us to develop and automate tests and work on performance characterization tests. We are looking for a highly motivated engineer who has an aptitude to debug complex and layered software stacks. You will be self-motivated and will design and develop analysis and visualization software tools to improvise screening process efficiency. You will collaborate with multiple teams thrive in a dynamic and innovative environment.

Preferred Qualifications

Have experience developing scripts and tools

Experience debugging problems in a highly concurrent environment

Have familiarity with the TCP/IP suite of protocols

Familiarity with network configuration protocols (e.g. DNS, DHCP, Bonjour, etc)

Track record of shipping high quality products

Ability to stay focused and prioritize a heavy workload while achieving extraordinary quality

System performance characterization a plus.

Innovative, flexible, and results oriented with a positive attitude

Minimum Qualifications

BS/MS IN Computer Science or equivalent.

You have proven track record of defining and leading large scale quality initiatives of networking products.

You will have strong programming skills with Python, C/C++

You will have experience developing scripts and tools

You will have excellent communication skills

You have an ability to work with multi-functional engineering teams.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability,