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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: Executive Deskside Support Engineer, End User Computing / Workplace Services Location - Des Moines, IA (no remote option) - Onsite Job Key Responsibilities Executive & VIP Support Provide dedicated deskside and remote technical support for executives and designated VIP users. Deliver a white-glove support experience , ensuring issues are handled with urgency, professionalism, and minimal disruption. Take end-to-end ownership of executive incidents and service requests through resolution. Provide proactive technical assistance before critical meetings, executive presentations, and leadership events. Coordinate with infrastructure, network, security, application, collaboration, and vendor teams when issues require escalation. Maintain clear communication with executive users throughout incident resolution. Ensure appropriate follow-up after resolution to confirm services are functioning as expected. Desktop & Endpoint Support Provide advanced troubleshooting and support for: Windows 10/11 laptops and desktops Microsoft Surface and other enterprise endpoint devices Hardware and peripheral issues Docking stations and monitors Printers and scanners Headsets, webcams, keyboards, and other peripherals Device performance and operating system issues Software installation and troubleshooting Device replacement, refresh, and migration activities Support device provisioning, configuration, diagnostics, repair coordination, and replacement as required. Microsoft 365 Support Provide advanced user support for: Microsoft Outlook Microsoft Teams OneDrive for Business SharePoint Online Microsoft Word Microsoft Excel Microsoft PowerPoint Microsoft Edge Troubleshoot issues involving Outlook profiles, mailbox access, Teams meetings, OneDrive synchronization, Microsoft 365 applications, authentication, and related end-user services. Mobile Device Support Support executive smartphones and tablets, including iPhone, iPad, and enterprise-supported Android devices. Troubleshoot corporate email, Microsoft Teams, authentication, certificates, Wi-Fi, and other approved business applications. Support device enrollment and mobile device management processes. Assist with device replacements, upgrades, and migrations. Coordinate with mobility and security teams for complex mobile-device issues. Executive Meeting & Conference Room Support Provide proactive support for executive meetings, leadership sessions, and critical presentations. Validate conference room technology before high-profile meetings where required. Troubleshoot Microsoft Teams meeting connectivity, audio, video, displays, cameras, microphones, and presentation-sharing issues. Provide rapid onsite intervention for executive meeting-room issues. Coordinate with AV and collaboration teams for advanced conference-room incidents. Identity, Access & Connectivity Troubleshoot common end-user issues involving: Microsoft Entra ID authentication Multi-factor authentication Windows login VPN connectivity Corporate Wi-Fi Wired network connectivity Password and account-related issues Remote-access services Work with identity, networking, and security teams when advanced troubleshooting or privileged changes are required. Incident & Service Management Create, update, and manage executive support tickets in the organization's ITSM platform. Maintain accurate troubleshooting notes and resolution details. Ensure executive incidents receive appropriate prioritization under established ITSM procedures. Escalate high-impact or recurring issues to appropriate technical teams. Participate in Major Incident Management when executive services are impacted. Identify recurring executive support issues and recommend permanent corrective actions. Maintain executive-support knowledge articles, SOPs, and troubleshooting documentation. Executive Onboarding & Offboarding Provide technology support for executive onboarding, transfers, and departures, including: Laptop and endpoint preparation Mobile device setup Microsoft 365 configuration Access validation Peripheral and workspace setup Conference and collaboration tool readiness Coordinate across relevant teams to ensure executive technology is operational when required. Security & Confidentiality Maintain strict confidentiality when handling executive devices, data, communications, and support requests. Follow organizational cybersecurity, privacy, and data-handling policies. Ensure devices remain compliant with endpoint-security requirements. Immediately escalate suspected security incidents through established security procedures. Maintain appropriate chain of custody and handling procedures for executive equipment where applicable. Required Technical Skills End-User Computing Windows 10/11 Microsoft Surface and enterprise laptop/desktop hardware Device drivers and peripherals Printing and scanning Remote desktop/support tools Endpoint troubleshooting Microsoft 365 Outlook Teams OneDrive SharePoint Word Excel PowerPoint Endpoint Management Hands-on experience with technologies such as: Microsoft Intune Microsoft Configuration Manager Windows Autopilot Enterprise endpoint security tools Mobility iOS/iPhone/iPad Android Mobile Device Management Corporate email and Teams configuration Mobile authentication and connectivity troubleshooting Networking Working knowledge of: TCP/IP DNS DHCP VPN Wi-Fi LAN connectivity Network troubleshooting fundamentals Identity & Security Working knowledge of: Microsoft Entra ID Multi-factor authentication Windows authentication BitLocker Endpoint security fundamentals Executive Support Competencies The candidate must demonstrate: Excellent customer-service orientation Executive presence and professional communication Ability to remain calm during urgent or high-pressure situations Strong sense of ownership and accountability Excellent troubleshooting and analytical skills Ability to communicate technical issues clearly to non-technical executives Strong prioritization and time-management skills High level of discretion and confidentiality Ability to coordinate rapidly across multiple technology teams Strong attention to detail Proactive rather than purely reactive support mindset Preferred Qualifications 5-8+ years of enterprise deskside/EUC support experience. Demonstrated experience supporting C-suite, senior executives, or VIP users. Experience in a large enterprise or managed-services environment. Experience supporting executive meetings and conference-room technology. Hands-on experience with Microsoft 365, Windows, Intune, and enterprise endpoint technologies. Experience with ServiceNow, ManageEngine ServiceDesk Plus, or a comparable ITSM platform. Relevant Microsoft endpoint or Microsoft 365 certifications are preferred. ITIL Foundation certification is an advantage. Success Measures Performance in this role should focus on: Executive user experience and satisfaction Responsiveness to priority incidents End-to-end ticket ownership Incident restoration and resolution Repeat-incident reduction Meeting and event technology readiness Accurate ticket documentation Successful executive onboarding/device refresh Compliance with security and ITSM processes

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!

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.

Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details

Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. 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.

Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.

Pay Range: $55.00hr - $60.00hr Job Overview: The Technical Architect is responsible for overseeing the technical architecture, design, and development of Spring Boot, DevOps solutions, and full-stack Java solutions. This role involves leading a team of developers to ensure the successful implementation of architecture best practices and delivering high-quality technical solutions. Responsibilities: Develop and maintain technical architecture blueprints for Spring Boot, DevOps solutions, and full-stack Java projects. Provide technical guidance and mentorship to development teams to ensure adherence to best practices. Collaborate with stakeholders to gather requirements and design technical solutions that meet business needs. Evaluate and recommend tools, technologies, and frameworks to enhance development processes. Lead the implementation of DevOps practices to improve efficiency and quality in the software development lifecycle. Requirements: Proficiency in the Spring Boot framework for developing robust and scalable applications. Expertise in DevOps solutions, including CI/CD pipelines, automated testing, and Infrastructure as Code. Strong full-stack development skills in Java, JavaScript, HTML, and CSS. Knowledge of cloud platforms such as AWS, Azure, or GCP for deploying and managing applications. Excellent problem-solving abilities and communication skills to effectively interact with cross-functional teams. Ability to prioritize tasks, meet deadlines, and adapt to changing project requirements. 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 About Photon Photon is a Digital Engineering and Digital Modernization company founded in 1999, partnering with leading global enterprises, including Fortune 500 organizations, to build and modernize digital platforms and experiences. Job Summary We are seeking an experienced Senior DevOps Engineer to own and manage infrastructure, CI/CD pipelines, and cloud operations. In this role, you will build secure, automated, and repeatable platforms that enable engineering teams to deliver software quickly, reliably, and safely. The ideal candidate will have strong expertise in cloud infrastructure, Terraform, Jenkins, Docker, automation, and infrastructure management, as well as a solid understanding of security, monitoring, and reliability best practices. Key Responsibilities Provision, configure, and manage cloud infrastructure on GCP and/or AWS using Terraform and infrastructure-as-code best practices. Design, maintain, and continuously improve CI/CD pipelines using Jenkins. Containerize applications using Docker and support container-based deployment workflows. Develop and maintain automation scripts using Bash, Python, or similar scripting languages to reduce manual operational tasks. Implement and maintain monitoring, logging, alerting, and incident response processes. Drive cloud security, access control, cost optimization, and infrastructure reliability improvements. Collaborate with development and QA teams to streamline build, testing, and release processes. Identify opportunities to improve infrastructure automation, deployment efficiency, and operational stability. Mentor team members and promote DevOps best practices across engineering teams. Required Skills and Qualifications 10+ years of experience in DevOps, Site Reliability Engineering (SRE), or infrastructure engineering. Bachelor's degree in Computer Science or equivalent. Expert-level hands-on experience with Terraform and infrastructure-as-code practices. Strong hands-on experience designing, developing, and maintaining Jenkins pipelines. Production-level experience managing cloud environments using GCP and/or AWS. Proficiency in Docker and containerization technologies. Strong scripting skills using Bash, Python, or similar languages. Solid understanding of networking concepts, cloud security, and access control. Strong experience with Linux administration. Understanding of infrastructure reliability, monitoring, and operational best practices. Preferred Qualifications Experience with Kubernetes and Helm for container orchestration and deployment management. Familiarity with observability and monitoring tools such as Prometheus, Grafana, and Datadog. Experience with GitOps practices and policy-as-code frameworks.

Job Description Company Description Alpus Consulting LLC is a technology consulting firm that supports organizations with custom software solutions and technical expertise. The company focuses on delivering reliable, scalable, and secure applications that help clients solve complex business challenges. Team members collaborate closely with clients to understand their goals and translate requirements into practical, high-quality software. Alpus Consulting LLC values flexibility, remote collaboration, and continuous learning to keep pace with evolving technologies. The organization encourages innovative thinking and ownership of work across all levels. Role Description This is a part-time, remote Senior Software Engineer role. The Senior Software Engineer will design, develop, and maintain back-end services and APIs that support web and enterprise applications. Day-to-day work includes writing clean, efficient, and testable code, reviewing code from other team members, and contributing to architectural decisions. The role involves collaborating with consultants, project managers, and clients to refine requirements, estimate effort, and propose technical solutions. The Senior Software Engineer will also troubleshoot production issues, improve performance, and help implement best practices for security, reliability, and maintainability. Mentoring less-experienced engineers and contributing to technical documentation and standards is also expected. Qualifications Strong foundation in Computer Science, including algorithms, data structures, and software architecture. Proficiency in Software Development and Programming, with experience building and maintaining production systems. Hands-on experience with Back-End Web Development, including APIs, databases, and server-side frameworks. Advanced skills in Object-Oriented Programming (OOP) and familiarity with design patterns and clean code principles. Experience with version control (e.g., Git) and collaborative development workflows. Ability to work independently in a remote environment, manage time effectively, and communicate clearly with distributed teams. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and CI/CD pipelines is a plus. Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Pay Range: $55.00hr - $60.00hr Job Description: Experience in developing Android apps on the Play Store, Jetpack Compose, Compose UI, and experience with location/map. Experience with Gradle, Android Studio, Java, Kotlin, Retrofit, and Room. Knowledge of MVI and MVVM, OOP, OOD, DDD, through SOLID principles and development best practices. Strong analytical and debugging skills. Consumer mobile application development experience. A background in building mobile applications that utilize web services (either REST-based, JSON, Thrift, or other services). Good knowledge of Material Design and experience and thorough understanding of Agile Software Development. Proficiency in the use of JIRA/Confluence in product development. Experience in source control tools like Git. Good knowledge of the continuous deployment and integration process. Experience with Platform APIs to control OS/Device, custom launchers. Experience with Android Management API, Device Policy Manager, Profile management, etc. Expert knowledge of Kotlin, modern Jetpack libraries, system-level Android permissions, and custom AOSP (Android Open Source Project) builds or privileged system app development. Job Responsibilities: Develop applications for the Android platform. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality. Develop solutions to address complex problems. Ability to share technical solutions and product ideas with the broader team through design review, code review, and show and tell. Participate in brainstorming sessions and contribute ideas to technology, algorithms, and products. 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.

Pay Range: $75.00hr - $80.00hr Job Overview: The candidate will serve as a senior-level PowerBuilder developer to support, maintain, and modernize legacy systems and develop key application interfaces, working collaboratively within an Agile team environment. Project Overview: Backfill support to maintain legacy systems for the modernization project. Scope of Work: Serve as the technical architect responsible for designing and overseeing the development and implementation of interfaces between core enterprise systems, as well as annual legislative changes throughout the modernization period to support all project rollouts. This role works collaboratively within a team environment. The candidate will provide analysis, support, and maintenance for the legacy system, as well as development and implementation of system interfaces under the direction of management. Required Skills: Technical knowledge in designing, developing, and maintaining IRMS - CACSG Collections System. Product knowledge of IRMS CACSG system. Experience developing PowerBuilder applications using PowerBuilder 12.5 or higher. Hands-on experience using Relational Databases, such as Oracle 19C or higher, MySQL, or similar. Experience developing interfaces to FileNet applications. Experience developing interfaces to REST APIs. Ability to design and develop clear and maintainable code. Experience using software project tracking tools such as Azure DevOps. Strong written and verbal communication skills. Self-motivated with the ability to work effectively in a team. Ability to interact with a multi-disciplined team to clarify, analyze, and assess requirements. Ability to work independently and collaboratively on a multi-disciplined project team in an Agile development environment. Ability to contribute to detailed design and architectural discussions as well as customer requirements sessions to support the implementation of PowerBuilder applications. 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.

Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. 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 Senior Data Engineer - AWS Charlotte, NC - Onsite 6 Months+ Required Skills & Qualifications • Data engineering, backend development, or software engineering, with demonstrated hands-on development experience. • Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling. • Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations. • Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines. • Proficiency in SQL, including complex queries, data transformations, and query performance optimisation. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture. • Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows. • Experience with API testing, debugging, authentication and authorisation, and application integration. • Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices. • Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements. Preferred Qualifications (Nice to Have) • Experience building AI-enabled applications, LLM-powered workflows, or MCP-based integrations. • Exposure to LLM orchestration frameworks, tool calling, retrieval-augmented generation (RAG), or enterprise AI integration patterns. • Experience with AWS-native AI services and deployment of AI-enabled applications in cloud environments. • Familiarity with API gateways, containerisation, microservices architecture, and application observability. • Experience with data warehousing, distributed computing, Spark performance tuning, and data quality frameworks. Job Responsibilities Key Responsibilities • Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL. • Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability. • Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations. • Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions. • Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows. • Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices. • Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations. • Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions. • Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications. • Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.

Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details

Pay Range: $55.00hr - $60.00hr Job Overview: The Technical Architect is responsible for overseeing the technical architecture, design, and development of Spring Boot, DevOps solutions, and full-stack Java solutions. This role involves leading a team of developers to ensure the successful implementation of architecture best practices and delivering high-quality technical solutions. Responsibilities: Develop and maintain technical architecture blueprints for Spring Boot, DevOps solutions, and full-stack Java projects. Provide technical guidance and mentorship to development teams to ensure adherence to best practices. Collaborate with stakeholders to gather requirements and design technical solutions that meet business needs. Evaluate and recommend tools, technologies, and frameworks to enhance development processes. Lead the implementation of DevOps practices to improve efficiency and quality in the software development lifecycle. Requirements: Proficiency in the Spring Boot framework for developing robust and scalable applications. Expertise in DevOps solutions, including CI/CD pipelines, automated testing, and Infrastructure as Code. Strong full-stack development skills in Java, JavaScript, HTML, and CSS. Knowledge of cloud platforms such as AWS, Azure, or GCP for deploying and managing applications. Excellent problem-solving abilities and communication skills to effectively interact with cross-functional teams. Ability to prioritize tasks, meet deadlines, and adapt to changing project requirements. 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 Senior Software Development Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal. Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Role Overview: We are seeking a Senior Software Development Engineer to design, develop, and deploy scalable, AI-driven enterprise applications that enable advanced analytics and business decision-making. The ideal candidate will have strong experience in full-stack software development, data integration, and cloud-based application deployment, with expertise in Python, JavaScript, and modern web frameworks such as React, Angular, or Vue. Key Responsibilities: Lead the design, development, and deployment of scalable, AI-driven enterprise applications. Develop robust data pipelines and ETL processes to support advanced analytics and business intelligence initiatives. Integrate complex systems using SQL and NoSQL databases. Optimize application performance and ensure scalability, reliability, and maintainability. Automate operational workflows through scripting and scheduling tools. Collaborate closely with clients and cross-functional teams to provide technical leadership and drive solution architecture. Ensure code quality through CI/CD practices and version control processes. Maintain comprehensive technical documentation throughout the software development lifecycle. Leverage emerging AI technologies to enhance application capabilities and business outcomes. Deliver high-quality software solutions on cloud platforms such as AWS, Azure, or GCP. Participate in Agile development processes and contribute to continuous improvement initiatives. Qualifications & Skills: Strong experience in full-stack software development. Expertise in Python and JavaScript. Hands-on experience with modern web frameworks such as React, Angular, or Vue. Experience in building and maintaining data integration solutions, data pipelines, and ETL processes. Proficiency in SQL and NoSQL databases. Experience with cloud-based application deployment on AWS, Azure, or GCP. Strong understanding of CI/CD pipelines and version control systems. Solid foundation in data structures and algorithms. Strong problem-solving and analytical skills. Experience working in Agile environments. Ability to collaborate effectively with clients and cross-functional teams. Strong technical leadership and solution architecture capabilities. Excellent documentation and communication skills. Preferred Qualification: Experience on the C3 AI platform is preferred. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $120,000 to $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.