402 jobs found

Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.

Job Description We are searching for a Systems Administrator to join the Reston, VA location of the Digital Engineering Department in the Cyber, Modeling, and Simulation Division of the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. You will maintain the integrity of various high-performance computing (HPC) systems including operating systems, physical servers/workstations, and applications; administer, install, and troubleshoot a variety of Cloud tooling and applications, perform systems maintenance tasks such as troubleshooting and performance evaluation as well as back-up and recovery; perform configuration changes to address customer needs; schedule, install, and test system software upgrades; monitor and maintain software licensing. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply You will: Install, configure, maintain, upgrade, and support systems and software with a focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Develop plans, schedules, and requirements for deployment of systems Create or improve existing scripts and tooling to aid in systems management Diagnose, troubleshoot, and resolve server, workstation, and audio-visual (A/V) issues and/or respond to outages during normal working hours Resolve service-related issues; determine immediate economic and financial consequences of an incident Test and implement upgrades and patches to installed operating systems, software container orchestration platforms (Kubernetes), and modeling & simulation (M&S) applications Maintain reliability of systems by monitoring, running tests, and troubleshooting Monitor backups and plans for installed systems Monitor, maintain, and execute automation processes and CI/CD pipelines Evaluate and recommend new or existing system improvements and/or solutions Create and maintain system documentation of our processes, procedures, plans, and configurations May supervise staff members, including hiring, development, and performance management Required Skills/Experience areas to include: Ability to install, configure, maintain, upgrade, and support systems and software, with a strong focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Skilled in diagnosing, troubleshooting, and resolving server, workstation, and audio-visual (A/V) issues, including responding to system outages during normal business hours Proficiency in testing and implementing upgrades and patches for operating systems, Kubernetes-based container orchestration platforms, and modeling and simulation (M&S) applications Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Your working location will be fully onsite, located in Reston , VA.

Job Description Position Summary: We are seeking a seasoned Senior Java Developer with a deep specialization in high-throughput trading platforms. You will be responsible for designing and scaling microservices that power our real-time execution algorithms, ensuring ultra-low latency, high availability, and strict adherence to risk and regulatory controls. Core Responsibilities: Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments. Algorithm Engineering: Collaborate with Quants and Product Managers to translate complex execution strategies into performant, production-ready code. Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds. Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh. Domain Requirements: Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement). Execution Algorithms: Proven track record of building or maintaining algorithmic engines and SOR (Smart Order Routing) systems. Market Dynamics: Understanding of market data structures (L1/L2/L3 books) and regulatory requirements (MiFID II, SEC Rule 606). Technical Qualifications: Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model. Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes). Familiarity with Service Mesh (Istio/Linkerd) is a plus. Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron. Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing. Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI).

Job Description Senior .NET Developer - Job Description Position: Senior .NET Developer Experience: 8+ Years Employment Type: Full-Time Location: USA / Remote / Hybrid Job Summary We are looking for an experienced Senior .NET Developer to design, develop, and maintain scalable enterprise applications. The ideal candidate should have strong hands-on experience with C#, .NET Core/.NET 6+, ASP.NET Core, Web API, REST APIs, SQL Server, Azure, and modern frontend technologies . Key Responsibilities Design, develop, test, and maintain enterprise applications using C#, .NET Core, ASP.NET Core, and Web API . Build scalable and secure RESTful APIs and Web Services . Develop microservices-based applications and integrate third-party systems. Work with SQL Server, Entity Framework Core, LINQ, and stored procedures . Develop responsive web applications using React.js or Angular . Implement authentication and authorization using OAuth 2.0, JWT, and Azure AD . Deploy and manage applications using Microsoft Azure services. Work with Azure Functions, Azure App Services, Azure SQL, Service Bus, and Key Vault . Participate in application architecture, system design, and technical decision-making. Perform code reviews and ensure adherence to coding standards and best practices. Troubleshoot production issues and optimize application performance. Write unit and integration tests using xUnit, NUnit, or MSTest . Collaborate with business analysts, architects, QA engineers, DevOps engineers, and product teams. Participate in Agile/Scrum ceremonies and contribute to sprint planning and technical discussions. Required Technical Skills C# .NET / .NET Core / .NET 6+ ASP.NET Core Web API / REST API Entity Framework / Entity Framework Core LINQ SQL Server T-SQL / Stored Procedures Microservices Azure Git / GitHub / Azure DevOps CI/CD Docker JavaScript / TypeScript React.js or Angular HTML5 / CSS3 Unit Testing Preferred Skills Azure Functions Azure Service Bus Azure App Services Azure SQL Azure Key Vault Azure AD / Entra ID Redis RabbitMQ or Kafka Kubernetes Terraform PowerShell Design Patterns SOLID principles Domain-Driven Design (DDD) Clean Architecture Event-driven architecture Experience & Qualifications Bachelor's degree in Computer Science, Engineering, or related field preferred. 8+ years of professional software development experience . Strong experience building enterprise applications using the Microsoft .NET technology stack . Experience with cloud-based application development, preferably Azure . Strong communication, analytical, and problem-solving skills. Ability to work independently and mentor junior/mid-level developers. Senior .NET Developer, .NET Developer, C#, .NET Core, ASP.NET Core, ASP.NET MVC, Web API, REST API, Microservices, Entity Framework, EF Core, SQL Server, Azure, React, Angular, TypeScript, Azure DevOps, CI/CD, Docker, Kubernetes, Git, Azure Functions, Azure Service Bus. Email:

Job Description Role: AWS Systems Engineer Location: Jersey City , NJ W2 candidates only As a cloud infrastructure senior engineer, you'll set technical direction across two connected sides of the platform: Platform / Infrastructure - event-driven build pipelines using AWS Step Functions and Lambda, defined as Infrastructure as Code in CloudFormation, orchestrating the full image lifecycle from import through customization, testing, distribution, and decommissioning. Image customization & operations - the reusable packages, Ansible provisioning scripts, and compliance tests that define each image, delivered through a PR-driven, automated release pipeline. What you'll do Own and evolve serverless, event-driven build automation (Step Functions, Lambda, SNS, S3, EC2) that customizes machine images at scale. Lead Infrastructure as Code (CloudFormation) that deploys consistently across many regions and accounts. Build and harden OS images for RHEL, Windows, macOS, and Amazon Linux, including GPU, ARM64, and Kubernetes node variants, to strict security and compliance standards. Raise the bar on code quality, test coverage, and CI/CD health; mentor engineers and lead technical reviews. Partner with OS engineering and consuming application teams to keep the image catalog secure, current, and reliable. What we're looking for 7+ years in infrastructure, platform, or cloud engineering, with strong hands-on AWS experience (EC2/AMIs, Lambda, Step Functions, CloudFormation, IAM, S3, SNS). Custom VM Image building skills Google and Azure experience is plus. Hands on experience in creating complex AI skills, agents. Strong Python and a solid automated-testing discipline. Proven ownership of production Infrastructure as Code and CI/CD pipelines, ideally multi-region/multi-account. Linux and/or Windows administration and OS hardening experience; macOS a plus. Configuration management (Ansible) and compliance-as-code testing (InSpec) strongly preferred. Demonstrated technical leadership and mentoring.

Job Description Senior Enterprise Services System Engineer job in Scottsdale, Arizona is available with Moseley Technical Services Top Aerospace / Defense company . In this job you will support the Space Development Agency as a member of a cross-functional team responsible for developing and deploying the state-of-the-art ground operational systems. Responsibilities: Develop, update, and sustain Enterprise Services system-engineering documentation supporting network, cloud, DMZ, and hybrid infrastructure capabilities. Author and maintain system specifications, architecture descriptions, design documents, interface control documents, architecture description documents, and network diagrams Translate needs, concepts, and technical requirements into clear, traceable system-engineering artifacts. Develop and maintain ICDs for network, cloud, external mission partner, Operations Center, Ground Entry Point, SVV, and enterprise-service interfaces. Work closely with Network, Cloud, Cybersecurity, Operations, Integration and Test, and Systems Engineering, to resolve documentation issues. Ensure documentation reflects the deployed environment, approved architecture, planned capability increments, interfaces, configurations, and technical decisions. Support requirements decomposition, allocation, traceability, verification planning, and updates to requirements traceability matrices. Participate in technical interchange meetings, design reviews, architecture working groups, DRRs, and configuration-control activities. Coordinate document reviews, adjudicate comments, maintain version control, and route documents through required approval and release processes. Ensure documentation supports the PWSA Tranche-based development approach by documenting current-state, planned-state, and future-state architecture evolution. Identify documentation gaps, outdated artifacts, interface inconsistencies, and technical dependencies; develop plans to address them. Support development of technical estimates, schedules, work plans, and backlog stories for documentation and systems-engineering activities. Provide Systems Engineering leadership for documentation priorities, quality standards, completion criteria, and delivery commitments across the Enterprise Services team. Required Skills & Experience U.S. citizen with active Department of Defense Secret security clearance Bachelor's degree in Systems Engineering, or STEM and 8+ years of relevant experience; or Master's degree and 6+ years of experience. 15+ years of recent experience designing, integrating, or sustaining complex distributed software systems 10+ years of recent experience working satellite-ground systems or similar national-security mission programs 5+ years of recent experience working in cloud or hybrid-cloud environments Demonstrated experience developing system-engineering documentation for complex network, cloud, or hybrid-cloud environments. Experience supporting SDA, PWSA, or GMI programs Familiarity with cloud networking and services, preferably AWS GovCloud and/or AWS SC2S, including VPCs, Transit Gateways, Direct Connect, load balancers, security groups, and Infrastructure as Code concepts.

Job Description Senior Cybersecurity Manager Salary: Open + Bonus Location: Pleasant Prairie, WI Onsite: 5 days/week We are unable to provide sponsorship for this role Candidates seeking relocation are welcome to apply Qualifications Bachelor's degree required 4+ years managing over security engineering with formal direct reports 10+ years of experience in a large-scale IT security environment Hands-on experience with risk management frameworks and cybersecurity practices, including NIST, ISO 27001 and CIS Controls. Strong scripting and automation experience, including Python, PowerShell or Terraform. Responsibilities Oversee cybersecurity technologies across endpoint, network and cloud environments to protect company enterprise systems. Build and maintain scalable cybersecurity programs focused on automation, threat detection and vulnerability management to reduce risk and improve efficiency. Partner with IT teams to integrate cybersecurity into cloud, infrastructure and application development while influencing enterprise-wide technology decisions. Lead and develop a team of Security Engineers, setting priorities, supporting career growth and driving technical excellence. Direct incident response efforts, partnering across teams to investigate threats, resolve issues and strengthen cybersecurity controls.

Job Description About the Program You will join the Solutioning Core of a flagship engagement: an enterprise-wide data migration to Databricks on Azure for a leading North American upstream oil & gas operator The Role As the Senior Business Analyst in the Solutioning Core, you are the requirements backbone of the program. You will elicit, structure and manage business requirements from asset and corporate teams across two basins, convert them into user stories, acceptance criteria and solution prompts that digital and data teams execute from, and maintain end-to-end traceability from intake through migrated, validated, adopted data. You are the answer to "what did the business mean?" - before an engineer has to ask. You will work shoulder-to-shoulder with a Databricks Solution Architect and the upstream Industry SME, who leads the Solutioning Core as our on-site team lead, as one unit with a shared backlog. Key Responsibilities Plan and facilitate structured requirements workshops per data domain (production, drilling & completions, land, finance, reserves/planning) with business owners and SMEs Translate business needs into clear user stories, functional specifications, data requirements and acceptance criteria consumable by data engineers and platform teams - including well-formed solution prompts for GenAI-assisted development tooling Own and groom the single program requirements backlog; enforce traceability from requirement to pipeline to validated dataset to UAT sign-off Run two-way clarification: resolve ambiguity for engineers in hours, and replay technical constraints back to the business in plain language Design UAT scenarios with business owners per migration wave; coordinate execution, defect triage and sign-off Produce requirement-health reporting (coverage, churn, blocked items, decisions needed) for the joint program board Support the Industry SME and Solution Architect in wave planning by quantifying requirement volume and readiness per domain Champion documentation standards so requirements remain a durable asset for the client after each wave Required Qualifications & Experience 5+ years as a Business Analyst on data platform, data migration, EDW/BI or large ERP-adjacent programs Demonstrated experience writing requirements for data products: source-to-target mappings, data quality rules, reconciliation criteria, semantic/reporting definitions Hands-on familiarity with modern data stacks ideally Databricks (Unity Catalog, Delta Lake concepts), Azure data services and Power BI: sufficient to write implementable stories Strong workshop facilitation and stakeholder management from manager through VP level; excellent written English Experience with agile delivery and backlog tooling (Azure DevOps or Jira) including traceability practices Energy industry exposure - upstream oil & gas strongly preferred; demonstrated ability to rapidly learn upstream data concepts is mandatory Preferred / Differentiating Qualifications Direct upstream O&G experience with sub-surface, land management, D&C systems (production allocation platforms, land/DOI systems, WellView-class applications) Experience on a lakehouse or EDW to cloud migration specifically; exposure to GenAI-assisted requirements or code-conversion workflows Consulting experience representing a services firm on a client site; experience working with nearshore/offshore delivery teams Education & Certifications Bachelor's degree in Business, Engineering, Computer Science, MIS or related field (or equivalent experience) CBAP, CCBA, PMI-PBA, Agile BA or equivalent certification preferred; SAFe or scaled-agile experience a plus Databricks Fundamentals or Azure data certifications (DP-900/DP-203) are a differentiator

Job Description Security Architect / Senior Information Security Engineer (3 Month Contract-to-Hire) - Onsite 4 days a week Oak Brook, IL 60523 - Prefer experience in a regulated or payment-card environment. - NO (Sponsorship, H1b, Transfers, OPT, Corp-to-Corp) CBTS is searching for an experienced Security Architect to design, implement, and maintain the enterprise security architecture across network, endpoint, cloud, identity, and application layers. This is a hands-on, senior-level role responsible for security architecture and controls, incident response leadership, compliance (PCI-DSS and SOX), and threat management, aligned to industry frameworks including NIST CSF, ISO 27001, and CIS Controls. The ideal candidate combines deep technical expertise with the ability to advise leadership and raise security maturity across the organization. This is a 3-month contract-to-hire engagement and must be able to work onsite four days per week out of our Oak Brook, IL 60523 office/location. Responsibilities Security Architecture & Controls Design, implement, and maintain the enterprise security architecture across network, endpoint, cloud, identity, and application layers, aligned to business objectives and industry frameworks (NIST CSF, ISO 27001, CIS Controls). Define security standards, reference architectures, and control baselines; review new projects, system changes, and vendor solutions against them. Identify critical gaps in existing security systems, research candidate tools, and lead their evaluation, selection, and deployment. Incident Response Lead end-to-end cyber incident response: detection, triage, containment, eradication, recovery, and post-incident review. Act as the primary technical contact for the Managed Security Service Provider (MSSP); triage and validate escalated alerts and tune detection rules to reduce false positives. Maintain the incident response plan and playbooks, run tabletop exercises, and coordinate with legal, communications, and business stakeholders to minimize downtime and impact. Compliance & Audit Own the security elements of the PCI-DSS and SOX programs: control design, evidence collection, gap remediation, and liaison with internal and external auditors. Improve audit workflows through automation, standardized evidence, and continuous control monitoring. Maintain security policies, standards, and procedures, and track exceptions through to closure. Threat Management & Operations Monitor emerging threats, vulnerabilities, and attack techniques; translate them into prioritized security measures and roadmap items. Oversee vulnerability management, penetration testing, and remediation tracking across infrastructure and applications. Troubleshoot and resolve network and security issues (firewalls, VPN, IDS/IPS, email security, EDR, SIEM) to keep systems secure and operational. Leadership & Advisory Advise leadership on security risk, investment priorities, and the security implications of business initiatives. Mentor IT and security staff and raise security awareness across the organization. Requirements: 7+ years in information security, including 3+ years designing security controls or architecture in an enterprise environment. Hands-on experience leading cyber incident response and working with an MSSP or SOC, including alert triage and threat investigation. Working knowledge of PCI-DSS and SOX IT general controls, including evidence preparation and auditor engagement. Strong understanding of network security (firewalls, segmentation, VPN, IDS/IPS), identity and access management, endpoint protection (EDR), email security, and SIEM. Experience with cloud security (Azure, AWS, or OCI) and securing hybrid environments. Proven record of evaluating, selecting, and deploying security tools that measurably reduced risk. Ability to analyze emerging threats and translate them into practical, prioritized security measures. Clear written and verbal communication, with the ability to explain risk to both technical teams and senior management. Experience with zero-trust architecture, secure SDLC, and DevSecOps practices. Familiarity with NIST CSF, ISO 27001, or CIS Controls as governance frameworks. Scripting or automation skills (PowerShell, Python) for security tooling and evidence collection. Experience in a regulated or payment-card environment. Certifications such as CISSP, CISM, CCSP, SABSA, TOGAF, or GIAC (GCIH, GCIA, GSEC). CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.

Job Description Location: Naperville, IL - Initial hybrid 3x/week onsite, transitioning to remote Pay: 130k-160k+ BOE No 3rd parties please MMD Services is partnering with a long-standing client, a well-established national organization with exceptional employee tenure, on a major cloud modernization initiative. MMD has partnered with hiring managers and senior leadership within this org for the last 10 years and all presented candidates will be shortlisted. We're looking for a seasoned infrastructure engineer who understands both legacy and modern cloud technologies and can bring practical experience, technical leadership, and fresh ideas to the team. What You'll Be Doing: Take ownership of AWS infrastructure engineering across EC2, S3, VPC, and related services. Help introduce Terraform and Infrastructure as Code into an environment currently relying on manual provisioning and management. Collaborate with Microsoft and internal engineers on a large-scale VMware-to-Azure migration. Identify and resolve technical challenges involving legacy applications, Windows Server, VMware, and hybrid infrastructure. Evaluate existing cloud environments and recommend improvements to architecture, automation, performance, and reliability. Contribute to technical decisions and best practices across AWS, Azure, and on-premises infrastructure. What We're Looking For: 10+ years of progressive infrastructure engineering experience, with a strong foundation in traditional on-premises environments. Hands-on experience migrating legacy VMware/Windows workloads into Azure. Strong AWS infrastructure experience, including EC2, S3, VPC, and IAM. Experience with Terraform and Infrastructure as Code, ideally including implementing automation in traditional environments. Strong background in VMware/vSphere, Windows Server, Active Directory, and legacy enterprise applications. Hands-on Azure experience, including Azure Portal, virtual machines, storage, and networking. Ability to work independently, troubleshoot complex environments, and contribute meaningful technical recommendations. Nice to Have: Azure Migrate, Azure Site Recovery, Azure Monitor, or Azure Backup. CloudFormation, Ansible, or PowerShell. Cloud security, monitoring, backup, and disaster recovery experience. Why This Opportunity? You'll work alongside an experienced infrastructure team and Microsoft implementation resources on a significant modernization initiative. The environment combines traditional enterprise systems with modern cloud technologies, giving you the opportunity to apply your past migration experience, help introduce new automation practices, and influence technical improvements. About MMD Services: MMD Services is a Chicago-based boutique IT recruiting firm with over 20 years of established client relationships. We work directly with hiring leadership and take a personalized, quality-over-quantity approach to recruiting. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification in accordance with applicable federal, state, and local laws.

Pay Range: $65.00hr - $70.00hr Job Overview: The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Qualifications: 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working with major financial institutions is preferred, with a focus on large-scale AWS migrations. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities: Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Senior DevOps Engineer Overview / Summary We are seeking a Senior DevOps Engineer responsible for building, testing, and maintaining infrastructure and tools that support software development, deployment, and release processes. The ideal candidate will help improve software delivery speed, automate software lifecycle processes, implement DevOps practices, and enhance the efficiency and reliability of software releases. Key Responsibilities Implement DevOps methodologies and practices throughout the software product lifecycle. Accelerate software releases while maintaining security and minimizing the risk of failed releases. Improve software delivery cycles by leveraging Continuous Integration (CI), Continuous Deployment (CD), and continuous feedback practices. Assess existing systems and processes and identify opportunities for improvement. Leverage cloud platforms, enterprise tools, and infrastructure to support DevOps practices. Support code and software releases across multiple environments, including production, testing, and sandbox environments. Identify and lead automation and innovation initiatives throughout the software product lifecycle. Required Qualifications 7+ years of relevant professional experience. Strong experience with Google Cloud Platform (GCP). Knowledge of Cloud Architecture. Experience with Database Design. Proficiency in Python. Preferred Qualifications Experience with MongoDB. Additional Information Work Arrangement: Hybrid. On-site requirement: 4 days per week. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Pay Range: $55.00hr - $60.00hr Job Overview: The candidate will serve as a Salesforce Product Owner and Business Analyst, shaping the Salesforce product roadmap and translating business needs into scalable solutions across Sales Cloud, Service Cloud, Experience Cloud, and Agentforce. Key Responsibilities: Product ownership and roadmap: Own and shape the Salesforce product roadmap, translating business objectives into prioritized epics, features, and measurable outcomes. Backlog management: Own, prioritize, groom, and refine the backlog based on business value, customer impact, risk, dependencies, and delivery capacity. Business analysis: Lead Client workshops and convert business needs into user stories, process flows, business rules, functional requirements, and acceptance criteria. Salesforce solutioning: Recommend scalable, configuration-first solutions across Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Stakeholder management: Act as the business-technology interface, resolve competing priorities, and communicate product decisions to senior stakeholders. Agile delivery: Drive refinement, sprint planning, story clarification, reviews, release planning, and product acceptance. Testing and acceptance: Coordinate SIT and UAT, defect prioritization, business acceptance, training, and production readiness. Architecture and integration: Partner with Salesforce Architects and engineering teams across integrations, APIs, authentication, data, security, and deployments. Release, adoption, and innovation: Support change readiness, adoption, and KPI tracking; lead POCs and evaluate Agentforce and AI-enabled CRM opportunities where relevant. Required Skills: 7+ years of Salesforce/CRM experience in Product Owner, Business Analyst, Functional Consultant, or comparable roles. Strong functional knowledge of Sales Cloud, Service Cloud, Experience Cloud, and/or Agentforce. Proven experience owning and prioritizing a Salesforce product roadmap and backlog. Strong Agile/Scrum capability across epics, features, user stories, acceptance criteria, refinement, sprint, and release planning. Solid knowledge of Salesforce administration, including profiles, roles, permission sets, sharing, OWD, Flows, objects, data, and reporting. Working knowledge of Salesforce integrations, APIs, authentication, security, data migration, DevOps, and deployment concepts. Experience leading Client, process mapping, solution workshops, UAT, and senior stakeholder discussions. Ability to challenge requirements, make prioritization trade-offs, and translate strategy into executable Salesforce capabilities. Excellent analytical, problem-solving, facilitation, storytelling, and stakeholder communication skills. Certifications Preferred: Salesforce Certified Administrator, Salesforce Certified Business Analyst; Sales Cloud and/or Service Cloud Consultant; Platform App Builder. Advantageous: CSPO/PSPO and relevant Salesforce AI or Agentforce certification. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description We're Hiring: Senior Manager, eCommerce Platforms Location: Remote, USA Compensation: Competitive Base Salary + Benefits + Annual Bonus Employment Type: Full-Time Direct Hire We are seeking an experienced Senior Manager, eCommerce Platforms to lead enterprise-scale digital commerce platforms and technology initiatives. The ideal candidate will bring strong experience across SAP Commerce Cloud (CCv2 / Hybris) and Adobe Experience Manager (AEM) , with a proven track record of delivering scalable B2B and B2C eCommerce solutions. Key Responsibilities & Requirements: Lead end-to-end ownership and evolution of enterprise eCommerce platforms. Strong experience with SAP Commerce Cloud (CCv2 / Hybris) and AEM . Lead solution architecture, technical design, and complex platform integrations. Experience integrating eCommerce platforms with ERP, PIM, middleware, and search systems . Strong understanding of Headless Commerce, APIs, and enterprise integrations . Drive platform roadmap, Agile delivery, DevOps, testing, release management, and production support. Collaborate with Product Owners, Business Partners, Engineering teams, and external vendors. Experience leading large-scale technology initiatives and managing $3M-$5M+ budgets . Excellent technical leadership, stakeholder management, and communication skills. Experience: 10+ years in eCommerce technology and digital commerce platform delivery. Education: Bachelor's degree in IT, Computer Science, Engineering, or a related field. Important: This position does not offer visa sponsorship. Candidates must be independently authorized to work in the USA without sponsorship.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking a Senior Software Engineer to build and sustain enterprise applications that Department of Defense (DoD)/Department of War (DoW) personnel depend on daily for program and financial management activities. Our stack includes Java and Spring Boot on the back end, Angular on the front end, and Oracle underneath, with applications deployed to government-approved cloud environments (such as AWS GovCloud) through automated pipelines that meet DoD/DoW security requirements. We place greater emphasis on an engineer's problem-solving approach, technical judgment, and ability to understand systems end-to-end than on experience with any specific set of frameworks or tools. Successful engineers in this role can quickly assess unfamiliar code, develop a clear understanding of how components interact from the database through the user interface, and design solutions that are reliable, maintainable, and scalable over time. We expect engineers to use AI-enabled tools effectively while remaining accountable for the quality, security, and performance of their work. Technical depth is important, but so are adaptability, sound judgment, clear communication, and disciplined engineering practices. You will work as part of a product team supporting an established enterprise application that DoD/DoW organizations rely on to manage program and financial data at scale. The role includes sustaining and enhancing capabilities customers depend on today, modernizing the underlying technology, and developing new functionality. You will regularly work within an existing codebase and exercise sound technical judgment when determining whether existing solutions should be improved, refactored, replaced, or retained. The ability to thoughtfully evaluate and evolve established systems is as important as the ability to design and build new capabilities. Responsibilities include, but are not limited to, the following: Own application capabilities from concept through production, including requirements analysis, solution design, API development, implementation, testing, deployment, verification, and sustainment. Use AI development tools where they improve efficiency across coding, testing, schema changes, documentation, and deployment activities, while remaining fully accountable for the correctness, security, and maintainability of all delivered work. Model data as part of feature design by designing tables, keys, constraints, and indexes that efficiently and securely support applications and APIs, and evolve existing schemas as requirements change. Write SQL directly against Oracle and understand database execution and performance implications. Contribute to Angular front-end work as features require, whether or not it is your primary specialty. Own your changes through the pipeline, including build, security scanning, testing, deployment, and verification in the target environment. Write clean, well-tested code, clearly explain technical approaches for peer review, and provide substantive and constructive reviews of others' work. Investigate defects efficiently to identify root causes rather than stopping at the first plausible explanation. Participate in architecture and design decisions, and advocate for technically sound approaches supported by clear rationale. Knowledge and Skills: Demonstrated depth in relational databases, including designing schemas and writing, reading, and reasoning about non-trivial SQL, preferably in Oracle environments. Working familiarity with a modern front-end framework, such as Angular or React. Experience delivering software through CI/CD into a cloud environment using a mainstream toolchain, such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, Bitbucket Pipelines, or equivalent. Recent hands-on experience with a modern Java LTS release (21 or 25). What Distinguishes Strong Candidates You may not have experience in every area listed below. These qualifications are intended to provide insight into the technical and operational environment in which you will work and the capabilities that can contribute to success in this role. Data access breadth - Experience working with both JPA/Hibernate and JDBC-based approaches, with the ability to determine when each is appropriate; familiarity with schema migration tools such as Flyway or Liquibase. Cloud and operations - Experience with AWS services such as ECS/Fargate, RDS, S3, and IAM; container build and runtime environments; and infrastructure as code. Pipeline and supply chain - Experience with static analysis and dependency scanning tools such as SonarQube, Fortify, Trivy, or Snyk; artifact promotion and provenance; and pipeline development within a modern CI/CD platform. Security engineering - Experience with PKI and certificate management, TLS configuration, secrets management, FIPS-validated cryptography, and secure software development under DoD/DoW requirements. Regulated delivery - Experience delivering software in environments governed by STIGs, RMF, ATO processes, or similar security and compliance frameworks. Domain - Experience with federal financial management, Planning, Programming, Budgeting, and Execution (PPBE), or DoD/DoW systems acquisition. AI-assisted development - Demonstrated experience using AI-enabled development tools in production software environments, combined with the judgment to validate outputs, recognize limitations, and determine when independent technical analysis is required. Education and Work Experience: This position requires seven (7) or more years of professional software development experience, with substantial hands-on experience in Java and Spring Boot. This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline. Experience in lieu of education may be considered if the individual has eleven (11) or more years of relevant technical training or professional work experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas effectively so others can understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, equipment, and other work-related resources, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain Secret clearance is required for this role. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Please note: All candidates being considered for this position will be required to complete a technical assessment designed to evaluate their engineering and coding skills. The assessment may include general coding exercises, code testing and debugging, problem-solving, ability to follow technical requirements, and attention to detail. The assessment is expected to take approximately 60 minutes to complete. It is being administered for candidate evaluation purposes only, and any code or work product submitted as part of the assessment will not be used for business or production purposes. If you require a reasonable accommodation to complete the assessment, please notify our Human Resources team in advance so we can support your request. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses . click apply for full job details

Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.