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

Job Description Location: Charlotte, NC (3 days onsite & 2 days remote) Required Qualifications 5+ years of hands-on experience with Red Hat Ansible Automation Platform (AAP). Strong experience administering, configuring, and supporting enterprise AAP environments. Experience with Ansible Automation Controller, Automation Hub, Execution Environments, credentials, RBAC, and instance groups. Experience with AAP installation, upgrades, configuration, and production troubleshooting. 5+ years of advanced Linux/Unix systems administration experience. 5+ years of scripting experience using Python or similar languages. Strong proficiency in YAML, XML, Python, Perl, and Shell scripting. Experience developing and managing enterprise automation content, reusable roles, and Ansible collections. Experience implementing automation SDLC processes, source control, CI/CD pipelines, and content promotion workflows. Strong understanding of complex enterprise infrastructure and application environments. Excellent analytical, troubleshooting, organizational, and problem-solving skills. Strong written and verbal communication skills, including the ability to present technical concepts to senior management. Ability to work independently and collaboratively across geographically distributed teams. More about Dexian Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian Unlock trajectory changing opportunities. Unlock business potential with Dexian's comprehensive solutions. Discover staffing, talent development, and valuable resources. Explore now!

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

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

Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.

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

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

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

Pay Range: $82.12hr - $87.12hr Job Overview: The FEP Operations Center is seeking a senior or lead mainframe z/OS Systems Engineer to support the mainframe platform and environments and help in the maintenance, transformation, and modernization of the FEPOC mainframe technology stack. The focus will be on mainframe security (RACF, Encryption of data at rest and data in transit, CyberArk integration to RACF, and Vulnerability assessment and mitigation on mainframe). Tasks: Lead and participate in the analysis, design, development, and implementation of mainframe system engineering activities. Work with existing mainframe managed service provider to improve and optimize services to internal and external customers and improve resiliency and availability of the z/OS mainframe platform. Analyze and recommend improvements to the scalability and resiliency of applications and systems running on Z platform. Provide hands on technical support for incident assessment and resolution for restoration of service. Support problem Root Cause Analysis (RCA). Competencies: Solid leadership and hands on technical experience. SYSPLEX and ICF configuration and tuning. CyberArk integration with RACF. Mainframe pervasive encryption and key management process. Vanguard compliance manager. Data encryption of data in transit and data at rest for mainframe. Good project management and ability to provide technical guidance to diverse teams. Internal drive, intellectual curiosity, ability to learn, and desire to help the customers succeed. Strong technical skills as well as good business acumen. Comfortable working with all levels of the organization. Required Skills: Infrastructure engineer with a minimum of 8-10 years experience supporting IBM zOS Systems in a SYSPLEX environment with the following skills: RACF -Security Administration 5-10 years experience. ZOS Systems Programmer 5-10 years of experience. CICS TS Systems Programming 5 -10 years of experience. MQ 5-10 years Systems Programming. DB2 5-10 years usage , doesn't have to be at Systems Programming level. ISV Production installation experience. General Systems Automation support (IBM System Automation). General Batch Scheduling support Control-M. Strongly Desired Skills: SYSPLEX and ICF configuration and tuning. Experience in de-coupling Sysplex environment is a plus. Working knowledge of network communication protocols (TCPIP). Excellent knowledge of hardware infrastructure of IBM z16 and Dell/EMC storage subsystems. Pervasive encryption on z/OS. Ransomware solutioning for mainframe. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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

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

SUMMARY We are seeking a highly motivated MES Analyst with experience in food manufacturing and the Ignition platform or similar MES to support, enhance, and optimize manufacturing execution systems across production operations. This role will serve as a key technical resource responsible for MES configuration, data integration, production reporting, and continuous improvement initiatives within a regulated food manufacturing environment. The ideal candidate combines manufacturing systems expertise with strong operational knowledge of food production processes, traceability requirements, and industrial automation systems. This role is 100% onsite in Marlborough, MA. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: The MES Analyst will be responsible for overseeing the adoption/development/and support of Ken's Foods Manufacturing Execution System. This person will be tasked with being a subject matter expert on all facets of the system and work to ensure adoption and best practices across the organization. They will act as the key liaison between the corporate and plant floor teams, the technical development team, and the senior management team. They will work to provide training and assistance with the MES system. MES & Ignition Platform Support Administer, configure, and support the Ignition platform for manufacturing execution and operational visibility. Develop and maintain Ignition projects, including: Production dashboards Downtime tracking OEE monitoring Recipe management Electronic batch records Traceability applications Quality and production reporting Troubleshoot MES and Ignition-related issues affecting manufacturing operations. Manage system integrations between Ignition, PLCs, SCADA systems, historians, ERP systems, and databases. Support gateway administration, tag management, alarming, scripting, and user security within Ignition. Manufacturing & Operations Support Partner with operations, QA, maintenance, engineering, and IT teams to improve manufacturing efficiency and data accuracy. Analyze manufacturing data to identify trends, bottlenecks, downtime causes, and process improvement opportunities. Support digital transformation initiatives and plant-floor automation projects. Ensure MES functionality aligns with food safety, traceability, and regulatory compliance requirements. Assist in standardizing manufacturing processes across multiple production lines or facilities. Reporting & Data Management Create and maintain SQL queries, reports, KPIs, and production analytics. Develop real-time dashboards and visualizations for plant operations and leadership teams. Support historical data collection and reporting for audits, investigations, and compliance tracking. Validate manufacturing data integrity and troubleshoot data flow issues. Compliance & Documentation Maintain documentation for MES configurations, SOPs, workflows, validation protocols, and system changes. Support compliance with FDA, USDA, HACCP, SQF, GMP, and internal quality standards. Participate in change management, system testing, validation, and deployment activities. Assist with user training and development of work instructions. Required Qualifications • Deep understanding of Ignition or similar MES. • Understanding of manufacturing operations including batching, packaging, filling, mixing, and material traceability. • Familiarity with industrial automation systems and controls architecture. • Strong troubleshooting, analytical, and communication skills. • Lean Manufacturing or Six Sigma experience. • Experience supporting multi-site manufacturing operations. Education and/or Experience • Bachelor's degree in Engineering, Information Systems, Computer Science, Industrial Technology, Food Science, or related field. • 3+ years of MES, SCADA, or manufacturing systems experience in a production environment. • Hands-on experience with the Ignition platform by Inductive Automation or similar MES. • Experience in food and/or beverage manufacturing strongly preferred. Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $110K-135k annually.

Required Education -Bachelor's Degree Required Experience -10+ years of hands-on experience deploying, migrating, managing, and supporting complex enterprise and data center networks Preferred Certification -CCNP-level knowledge is strongly preferred -Relevant Cisco certifications are a plus Required Skills -Data Center Networking: Expert-level hands-on Cisco Nexus and Catalyst routing/switching; BGP, OSPF, L2/L3 design, resiliency, segmentation -Enterprise WAN & SD-WAN: Design, deployment, migration, routing integration, policy, branch connectivity, path selection, troubleshooting - Prisma SD-WAN strongly preferred -Cisco Data Center Platforms: Nexus, Catalyst, fabric management - NDFC strongly preferred; Catalyst Center a plus -Cloud Connectivity: Azure ExpressRoute and/or AWS Direct Connect (BGP routing, route advertisement, redundancy, cloud team collaboration) -Complex Migrations: Dependency management, testing, change control, rollback planning, post-implementation validation -Hands-On Implementation Leadership: Assess environment, develop approach, execute production work, validate, resolve with minimal direction -Network Security & Adjacent Services (preferred): Enterprise firewalls, DNS/DHCP/IPAM, load balancing - Palo Alto, Infoblox, F5 particularly valuable -Automation Awareness: Terraform, Ansible, Python, GitHub, GitHub Actions, IaC, GitOps (concepts desired; coding preferred, not required) -Observability & Troubleshooting: Packet analysis, telemetry, monitoring tools across hybrid environments -Communication & Collaboration: Strong written/verbal/interpersonal skills across Architecture, Cloud, Security, Operations, vendors, and global teams -Soft Skills: Self-starter, sound engineering judgment, strong ownership, continuous improvement Job Description -Senior hands-on engineer with deep expertise in data center routing/switching, enterprise WAN and SD-WAN, and hybrid cloud connectivity -Primarily focused on engineering execution: personally implementing, migrating, troubleshooting, and supporting production infrastructure -Contributes practical input to network designs and architecture decisions -Delivers and supports infrastructure across global private data centers, colocation facilities, cloud connectivity environments, and enterprise sites -Owns complex tasks with minimal direction; collaborates with Architecture, Cloud, Security, Operations, and application teams -Transitions completed solutions into stable operational support -Data Center Routing & Switching: Implement, migrate, optimize, troubleshoot Nexus/Catalyst environments (L2/L3, BGP, OSPF, redundancy, segmentation, HA) -Data Center Network Management: Deploy/operate fabrics and management platforms (NDFC or comparable) -SD-WAN & Enterprise WAN: Design, deploy, migrate, support SD-WAN/WAN services (Prisma SD-WAN preferred) -Cloud Connectivity: Implement/troubleshoot private connectivity (ExpressRoute / Direct Connect); collaborate with Cloud Engineering -Global Network Deployments: Lead hands-on deployments and complex migrations (planning, testing, cutover, rollback, validation) -Tier 3 Technical Support: Senior escalation point; independently diagnose/resolve complex production issues -Network Services Collaboration: Work across firewalls, DNS/DHCP/IPAM, load balancing (Palo Alto, Infoblox, F5 preferred) -Network Design: Contribute implementation expertise to architecture/design reviews (readiness, supportability, risk, feasibility) -Automation: Work in an automation/IaC environment (Terraform, Ansible, Python, GitHub, GitOps) -Documentation & Knowledge Transfer: Maintain designs, implementation plans, MOPs, test/rollback plans, diagrams, config standards, handoff docs

Job Description Job Title: Senior Embedded Software Engineer Experience : 12 to 15 years Job Summary: We are seeking an experienced Senior Embedded Software Engineer to design, develop, test, and maintain embedded software and firmware for hardware-based systems. The ideal candidate will have strong experience in C/C++, embedded Linux, RTOS, microcontrollers, device drivers, and hardware-software integration. The candidate will work closely with hardware engineers, system architects, and cross-functional teams to deliver reliable, high-performance embedded solutions. Roles and Responsibilities: Design, develop, and maintain embedded software and firmware for electronic devices and systems. Develop software using C, C++, and assembly language. Work with microcontrollers, microprocessors, and embedded platforms. Develop and debug device drivers, BSPs, and low-level software components. Implement real-time operating systems (RTOS) and embedded Linux applications. Integrate software with hardware components and peripheral interfaces. Perform debugging, troubleshooting, and root cause analysis. Develop communication protocols such as UART, SPI, I2C, CAN, USB, and Ethernet. Optimize software performance, memory usage, and system reliability. Conduct unit testing, integration testing, and system-level validation. Collaborate with hardware, firmware, QA, and system engineering teams. Review code and ensure compliance with software development standards. Prepare technical documentation, design specifications, and test reports. Required Technical Skills: Strong programming experience in C and C++. Experience with embedded systems and firmware development. Knowledge of Embedded Linux and RTOS. Experience with microcontrollers such as ARM, STM32, PIC, or AVR. Knowledge of device drivers and Board Support Packages (BSP). Experience with debugging tools such as JTAG, GDB, and oscilloscopes. Understanding of communication protocols including UART, SPI, I2C, CAN, and Ethernet. Experience with Git, SVN, and software configuration management. Knowledge of hardware-software integration and testing. Familiarity with software development lifecycle (SDLC). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related field. 12+ years of experience in embedded software or firmware development. Experience in automotive, industrial automation, medical devices, robotics, or IoT. Knowledge of AUTOSAR, bootloaders, and real-time system design. Experience with Agile/Scrum development methodologies. Strong analytical, communication, and problem-solving skills. Key Responsibilities Lead embedded software development activities. Develop scalable and reliable firmware solutions. Improve system performance and software quality. Support product development from design through production. Mentor junior engineers and provide technical guidance. Ensure software meets functional, performance, and safety requirements.

Principal Java & GCP Solution Architect Principal Java and GCP Solution Architect who can bring both deep technical expertise and thought leadership to complex client engagements. This role requires a hands-on architect who can design modern Java microservices, shape cloud-native strategy on GCP, guide engineering teams, and serve as a trusted technical voice with senior client stakeholders. This is not a documentation-only architecture position-the successful candidate must remain close to implementation and be able to turn architectural direction into practical delivery outcomes. Join our growing Detroit-area team in a strategic Principal Java & GCP Solution Architect role. You'll work a hybrid / onsite /remote combin while remaining available for onsite collaboration as needed with clients, delivery teams, and technical leadership across the local Michigan area. What You Will Do Lead the architecture, design, and implementation of modern Java-based applications using cloud-native and microservices patterns. Translate business requirements into practical architectural blueprints aligned with enterprise standards and long-term strategy. Provide technical thought leadership across ongoing and future client engagements. Assess existing application landscapes and recommend modernization, migration, and optimization strategies. Design secure, scalable, resilient, observable, and high-performing distributed systems. Define application, integration, API, data, deployment, and operational architecture. Establish API-first strategies using REST, GraphQL, gRPC, and event-driven patterns. Design asynchronous and event-driven solutions using technologies such as Kafka or RabbitMQ. Guide engineering teams in the use of Java 11+, Spring Boot, microservices, containers, Kubernetes, and cloud-native design patterns. Lead architecture reviews, technical assessments, proofs of concept, and technology evaluations. Establish reusable architecture standards, reference patterns, engineering guidelines, and technical governance. Collaborate with developers, DevOps engineers, QA teams, security teams, product leaders, and business stakeholders. Provide technical guidance throughout design, development, testing, deployment, and production support. Guide containerization and orchestration strategies using Docker and Kubernetes, preferably Google Kubernetes Engine. Define CI/CD, GitOps, and infrastructure-as-code approaches using tools such as Jenkins, ArgoCD, Git, and Terraform. Design observability frameworks covering logs, metrics, traces, alerts, dashboards, and production diagnostics. Evaluate emerging technologies and determine where they can provide practical business and engineering value. Mentor senior developers, technical leads, and architects. Present architecture recommendations, trade-offs, risks, and decisions to senior technical and business stakeholders. Identify technical risks, dependencies, architectural gaps, and remediation strategies. Ensure architectural decisions support maintainability, security, performance, scalability, reliability, and cost efficiency. Required Qualifications Extensive experience designing and delivering enterprise Java applications. Deep expertise in Java 11 or later and Spring Boot. Proven experience architecting microservices and distributed systems. Strong production-level architecture experience with Google Cloud Platform. Experience designing and deploying applications using GCP cloud-native services. Strong hands-on knowledge of Docker and Kubernetes. Experience with Google Kubernetes Engine or comparable enterprise Kubernetes platforms. Strong understanding of RESTful APIs and API-first architecture. Experience with one or more additional integration patterns or technologies: GraphQL gRPC Event-driven architecture Asynchronous messaging Experience with Kafka, RabbitMQ, or comparable messaging technologies. Strong knowledge of scalability, resilience, fault tolerance, performance, security, and observability. Experience with SQL and NoSQL databases, including distributed-system data modeling. Experience with MongoDB, Cassandra, or comparable NoSQL platforms. Knowledge of API gateways and service-mesh technologies. Experience with Istio, Linkerd, or comparable service-mesh platforms. Experience with CI/CD and DevOps toolchains. Working knowledge of Jenkins, GitOps, ArgoCD, Terraform, or comparable tools. Strong experience designing logging, monitoring, metrics, and distributed-tracing solutions. Experience with one or more of the following: OpenTelemetry Prometheus Grafana ELK Stack Dynatrace Jaeger Zipkin Proven architecture-governance and technical-leadership experience. Strong client-facing communication and presentation skills. Ability to explain complex technical concepts, options, risks, and trade-offs to both technical and nontechnical audiences. Demonstrated ability to influence technical strategy and guide teams without relying solely on formal authority. Preferred Qualifications Experience leading complex cloud-modernization or monolith-to-microservices programs. Experience supporting multiple enterprise or client engagements. Consulting or systems-integration experience. GCP Professional Cloud Architect certification. Experience establishing enterprise architecture standards or cloud-native reference architectures. Experience designing highly available, high-volume, or mission-critical platforms. Experience conducting architecture assessments and technology-selection initiatives. Experience mentoring architects and senior engineers. Public speaking, technical writing, internal technology leadership, or architecture-community participation. Ideal Candidate The ideal candidate is more than a senior Java developer who has moved into architecture. You have personally owned architecture decisions for complex enterprise platforms and can explain how those decisions improved business, delivery, reliability, or operational outcomes. You remain technically close enough to implementation to guide developers, review designs, evaluate code-level implications, troubleshoot difficult issues, and challenge assumptions. At the same time, you are comfortable presenting to senior client stakeholders and influencing long-term technology strategy. You know how to introduce modern technologies thoughtfully. You evaluate business value, operational complexity, risk, scalability, and long-term maintainability rather than adopting tools simply because they are new. What Success Looks Like Success in this role includes: Building credibility as a trusted technical advisor Improving the quality and consistency of architectural decisions Establishing reusable Java and GCP architecture patterns Helping teams deliver scalable and reliable cloud-native solutions Identifying architecture risks before they become delivery or production issues Strengthening engineering practices across client engagements Contributing technical expertise that expands and deepens client relationships 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.

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.

Job Description We are seeking a Senior Platform Engineer to help evolve and scale a modern Kubernetes-based infrastructure platform supporting mission-critical applications and engineering teams. This role is focused on platform reliability, automation, infrastructure engineering, and improving developer productivity through cloud-native technologies and DevOps best practices. The ideal candidate has strong Kubernetes expertise, hands-on Golang development experience, and a deep understanding of distributed systems, infrastructure automation, observability, and production operations. This is a remote-friendly role with flexible hours, provided there is overlap with Eastern Time business hours. Responsibilities Design, maintain, and improve highly available Kubernetes-based infrastructure platforms Partner with development, SRE, networking, and infrastructure teams to gather requirements and deliver scalable platform solutions Build and enhance automation tooling, CI/CD pipelines, and GitOps workflows Customize and extend open-source platform components written in Golang Contribute fixes, enhancements, and integrations to internally maintained platform tooling Support zero-downtime deployments, upgrades, and platform migrations Improve cluster observability, monitoring, logging, and alerting capabilities Automate issue detection, remediation, and operational workflows Assist application teams with onboarding workloads into Kubernetes environments Help modernize legacy applications for containerized deployment architectures Evaluate and test emerging platform technologies and infrastructure tooling Required Qualifications Strong production experience operating Kubernetes environments Hands-on Golang development experience Deep understanding of Kubernetes architecture, APIs, control plane, and node operations Experience implementing GitOps workflows using tools such as Argo CD or Flux Experience building automation and infrastructure tooling Experience with Helm and Kubernetes application packaging Experience with CI/CD pipeline design and implementation Strong Linux systems and networking knowledge Experience with ingress, reverse proxies, or service networking technologies Experience implementing monitoring and observability using Prometheus or similar tooling Experience with centralized logging and operational visibility platforms Strong troubleshooting and production incident response skills Preferred Qualifications Experience contributing to or modifying open-source infrastructure tooling Experience with Kubernetes networking and traffic management concepts Familiarity with cloud-native infrastructure patterns and distributed systems Experience with highly available infrastructure deployments Experience with persistent storage orchestration in containerized environments Familiarity with cloud providers or hybrid infrastructure environments Experience supporting developer enablement and platform engineering initiatives Additional Information Remote-first engineering environment High-impact infrastructure and platform ownership Collaborative engineering culture with strong automation focus Opportunity to influence platform architecture and engineering standards

Job Description Senior Software Engineer $200,000 - $300,000 Base Salary + Equity New York City In Office A high-growth, venture-backed software company is hiring a Senior Software Engineer, Money Movement to help build the financial infrastructure behind its platform. You'll work across payroll, banking, payments, accounting, and ledger systems , building products responsible for moving and accurately tracking real money. You'll join a highly technical engineering team building financial products from the ground up, with ownership over systems where correctness, reliability, and auditability are non-negotiable . This is an opportunity to tackle complex fintech problems while directly shaping the architecture and technical standards behind a rapidly growing platform. What You'll Be Doing Build a payroll product from the ground up , including earnings calculations, tax withholding, payment execution, and filing integrations Develop bill pay and accounts payable infrastructure that allows customers to pay suppliers directly through the platform Build embedded banking capabilities that give customers faster access to their funds Own and scale accounting integrations , including synchronization of invoices, bills, journal entries, and sales data Design double-entry ledgers supporting financial products such as deposits, loyalty, and stored value Build systems around idempotency, reconciliation, atomicity, concurrent transactions, and financial correctness Establish engineering standards for money movement that can be adopted across the broader organization Leverage modern AI coding agents while maintaining the guardrails required for production financial systems Highlights ? Build Money Movement Products from 0 1 - Help launch new payroll, banking, and bill pay products from the ground up ? Embedded Banking & Payments - Build infrastructure that moves real customer funds and powers critical financial workflows ? Ledgers & Financial Correctness - Design auditable double-entry ledger systems where being off by even a cent matters ? Build Payroll from Scratch - Own core payroll infrastructure spanning earnings, tax withholding, payments, and filing integrations ? Accounting Infrastructure - Build and scale integrations with platforms such as QuickBooks and other accounting systems ? Deep PostgreSQL Engineering - Design transactional schemas and concurrency-safe systems capable of supporting growing financial workloads ? AI-First Engineering Culture - Use modern AI coding agents as part of the everyday development workflow ? High Ownership & Impact - Join a small engineering team where your architectural decisions can become company-wide standards What They're Looking For 5+ years of experience building production backend systems Strong backend engineering experience, ideally with TypeScript / Node.js Deep understanding of transactional systems , including idempotency, atomicity, retries, concurrency, and failure handling Strong experience with PostgreSQL , including schema design, transactions, and performance at scale Experience building systems where financial correctness and data integrity are critical Track record of debugging complex production problems and solving the underlying root cause Ability to independently own complex technical projects from architecture through production Nice to Have Experience building payroll, banking, payments, ledger, or other financial systems Experience with accounting platforms such as QuickBooks, NetSuite, or Xero Experience with payment processors, ACH, reconciliation, or money movement infrastructure Familiarity with Next.js, tRPC, Prisma, Vercel, ElastiCache, RDS, or RDS Proxy Experience working with AI coding tools such as Devin, Claude Code, or Cursor Background in retail, POS, multi-location operations, or cash reconciliation Experience establishing technical or architectural standards across engineering teams Compensation & Benefits $200,000 - $300,000 base salary Meaningful equity package Fully company-covered medical and dental benefits 401(k) Catered meals High-impact role with significant technical ownership Opportunity to build foundational financial products from the ground up