141 jobs found

Job Description Job Description Company Description The staffing solutions division of GDKN is a leading provider of end-to-end solutions in the temporary staffing space. With companies across the globe laying critical emphasis on their human resources management, demand for temporary staffing is rapidly growing because it improves focus on core/critical activities and can be adapted to the seasonal nature of business, addresses business uncertainties and the demand for rapid growth. In short, temporary staffing creates a very nimble human capital platform which allows organizations to maximize their productivity and flexibility at all times. GDKN is one of the very few minority business enterprises in North America that has the status of Preferred vendor with world's largest corporations in various industries including: Electric Gas Telephone Utilities Manufacturing Defense Banking/Financial, Information Technology Healthcare/Pharmaceutical Having worked with a multitude of the world's largest clients, GDKN has gained significant expertise in providing staffing solutions which are specifically targeted to meet our client's unique needs with a highly innovative tactical and strategic approach and extensive capabilities for scalability and flexibility. Our staffing solutions focus on every detailed aspect of a business and ensure that you have the perfect talent for your critical business needs. We keep adapting and expanding to ensure that we always surpass our client's expectations. Our staffing solutions division has access to an unparalleled pool of candidates from which our dedicated team rigorously screen and evaluate to ensure ideal human resources are identified for our client's unique needs. Our dedicated team is the group of certified experts many of which have years of experience in their related field of expertise. We do not just focus on finding the perfect talent for our clients; we allow them to focus on growing their business and achieving their goals by ensuring that we adhere to the strictest labor compliance standards. Our activities are compliant with the laws prevailing in the countries and municipalities we do business in and our team of labor law experts ensures that your organization is compliant with all current applicable labor regulations. Labor Law Compliance Management is an important component of our business which we continue to keep as a top priority. With over 20 years in the staffing industry, highly customizable staffing solutions, unparalleled sourcing methodology and global capabilities, we are uniquely equipped to identify the right talent for your organization. GDKN will provide your organization with the flexibility to staff up or down, depending on your business needs. Job Description • Please look for strong experience in design/build/integration of automation equipment using Allen Bradley, Fanuc, Studio 5000 & Solidworks electrical and mechanical modeling/drawing creation. Senior Automation Engineer Overview • The Senior Automation Engineer is responsible for designing, implementing, supporting, and continuously improving automation systems that drive manufacturing efficiency and operational excellence. • This position leads automation projects, troubleshoots complex controls issues, collaborates with cross-functional teams, and serves as a technical expert for automation technologies. Key Responsibilities • Design, program, and support PLCs, HMIs, SCADA systems, robotics, vision systems, and process controls. • Lead automation projects from concept through commissioning. • Troubleshoot complex controls, automation, and integration issues. • Develop and maintain automation standards, documentation, and best practices. • Partner with manufacturing, quality, maintenance, IT, and external vendors. • Perform root cause analysis and support continuous improvement initiatives. • Ensure compliance with safety, cybersecurity, and industry standards. • Mentor junior engineers and provide technical leadership. • Support equipment upgrades, capacity expansions, and new product introductions. • Required Qualifications • Bachelor's degree in Engineering or equivalent experience. • 5+ years of industrial automation, controls engineering, or manufacturing engineering experience. • Strong PLC programming experience (Rockwell/Allen-Bradley, Siemens, or equivalent). • Experience with HMI/SCADA systems and industrial communication networks. • Proven automation system design and implementation experience. • Strong troubleshooting skills for electrical and control systems. • Ability to manage multiple projects independently. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience with robotics, machine vision, and motion control. • MES (Manufacturing Execution System) experience. • Knowledge of NFPA, IEC, OSHA, and safety-rated controls. • Project leadership experience. • Lean Manufacturing, Six Sigma, or Kaizen experience. • Recruiter Screening Questions • How many years of PLC programming experience do you have, and which platforms have you used (Rockwell, Allen-Bradley, Siemens, etc.)? • Have you led automation projects from design through commissioning? • What experience do you have with HMI/SCADA systems? • Have you worked with robotics, machine vision, or motion control systems? • Describe a complex automation issue you resolved and its impact. • Do you have experience in a manufacturing environment? • Have you supported MES integrations or Industry 4.0 initiatives? • Are you comfortable working independently and leading projects? Additional Information Ideal Candidate: • An experienced automation engineer with strong PLC programming skills, manufacturing experience, project leadership capability, and a proven track record of implementing and troubleshooting industrial automation systems.

Job Description Location: Remote, USA Employment Type: Full-Time (Permanent) Experience: 10+ Years Department: Professional Services Level: 4 - Senior Job Description We are seeking an experienced Senior Software Engineer - Informatica B2B Developer with 10+ years of hands-on experience in enterprise data integration, ETL/ELT development, cloud technologies, and B2B partner integrations. The ideal candidate should have strong technical expertise in Informatica PowerCenter, IICS/IDMC, B2B Gateway , enterprise integration platforms, and cloud-based data engineering, along with experience leading technical teams and delivering complex integration projects. Key Responsibilities Design, develop, optimize, and maintain enterprise ETL/ELT pipelines and data integration solutions using Informatica technologies. Architect and implement B2B dataflows, data pipelines, and trading-partner integrations. Develop and support integrations using Informatica PowerCenter, IICS/IDMC, CDI, CAI, CDGC, and B2B Gateway . Integrate enterprise applications and platforms, including Databricks, MuleSoft, and Salesforce , using APIs and integration workflows. Design, deploy, and manage cloud-based data integration workloads on AWS and Azure . Develop automation scripts, reusable components, and integration utilities using Shell, PowerShell, Python, Java, C, or C++. Build and maintain enterprise file transfer solutions using FTP, SFTP, AS2 , encryption, certificates, and managed file transfer mechanisms. Perform debugging, unit/integration testing, developer testing, QA support, performance tuning, and production troubleshooting. Manage production deployments, CI/CD processes, code reviews, and technical documentation. Lead developers, coordinate technical activities, and ensure timely delivery of individual and team deliverables. Collaborate with cross-functional teams in Agile environments to deliver reliable and scalable integration solutions. Required Qualifications 10+ years of hands-on experience designing, developing, optimizing, and supporting Informatica ETL/ELT solutions. 10+ years of experience in application integration, data integration, or ETL engineering development, including B2B dataflows, pipelines, and partner integrations. 4-5 years of technical design experience in application integration, data integration, or ETL engineering. 5+ years of experience with Informatica IICS/IDMC, including CDI, CAI, CDGC, B2B Gateway, mappings, workflows, taskflows, and associated microservices. 5+ years of experience integrating Databricks, MuleSoft, Salesforce, and other enterprise platforms. 5+ years of experience designing, deploying, and supporting integration workloads on AWS and Azure. 5+ years of experience with enterprise file transfer protocols, including FTP, SFTP, AS2 , and managed file transfer solutions. 5+ years of Shell or PowerShell scripting experience for automation, file processing, monitoring, and troubleshooting. 2-3 years of software development experience in Python, Java, C, or C++ . 4-5 years of experience supporting developer testing, application QA, unit testing, and integration testing. 4-5 years of experience managing production deployments and deployment automation. 4-5 years of experience leading developers, coordinating tasks, and managing technical deliverables. Strong knowledge of REST/SOAP APIs, SQL, relational databases, Linux, Windows , data validation, and query optimization. Experience with Git, CI/CD pipelines, code reviews, production support, technical documentation, logging, and error handling. Strong understanding of encryption, certificate management, cloud access management, and trading-partner connectivity. Experience working with Agile delivery teams and collaborating across technical and business stakeholders. Preferred Qualifications Experience with Informatica Data Exchange (DX), Data Transformation (DT) , and enterprise B2B/EDI integrations. Knowledge of ANSI X12, EDIFACT , and trading-partner onboarding processes. Exposure to Snowflake, Azure Data Factory, Apache Kafka , and event-driven integration architectures. Experience with DevOps tools such as Jenkins, Azure DevOps, GitHub Actions, Terraform, and CloudFormation . Familiarity with monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Splunk, and Datadog . Experience designing and supporting high-volume data pipelines, high-availability architectures, performance optimization, and disaster recovery. Exposure to AI/ML, Generative AI , and AI-assisted data engineering or integration tools. Additional Requirements Excellent written and verbal communication skills. Strong analytical and problem-solving abilities, including identifying, presenting, and resolving technical issues. Ability to lead technical discussions, mentor developers, and independently manage project deliverables. Flexibility to collaborate across US and India time zones . Willingness to travel internationally for short durations when required.

Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.

Job Description Job Title: Software Engineer in Test Location: Cary, NC Onsite Employment Type: Permanent Duration: Full-time About: VLink, founded in 2006, is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S, and we have offices in 7+ countries from North America-Europe to APAC, with expansion plans in the Middle East. With over 1,000 employees working globally, VLink has helped SMBs, and large enterprises achieve their business goals, and gained the trust of Fortune-250 companies. VLink is 'Great Place to Work Certified ' and has been a consistent winner as- Best Places to Work in CT. Trust, collaboration, and accountability are the three elements that are at the core of VLink's work culture. We value our professionals, providing comprehensive benefits and the opportunity for growth. Job Details: Our client is seeking an experienced Software Engineer in Test and Automation to help teams build and deliver reliable, scalable applications. In this role, you will design reusable testing frameworks, develop automated validation capabilities, and integrate testing into our engineering processes and CI/CD pipelines. You will partner with developers to strengthen testing practices and shared ownership of application quality, rather than serve as a centralized manual testing function. Your future duties and responsibilities: Design, develop, and support reusable testing frameworks and automation capabilities that enable engineering teams to deliver reliable applications Partner with developers to build testability into application designs and establish shared ownership of testing and quality Define risk-based testing strategies that balance fast feedback, meaningful coverage, and maintainable automation Integrate automated validation into development workflows and CI/CD pipelines to identify defects early and improve delivery confidence Build effective tests for APIs, batch processes, event driven workflows, and data integrations, including negative paths and failure recovery Establish reliable test data, mocks, and environment capabilities that make automated tests repeatable and easy to run Improve the reliability and execution time of automated test suites by resolving flaky tests, reducing unnecessary dependencies, and strengthening diagnostics Provide clear visibility into application quality, performance, and release readiness through actionable reporting and agreed upon signoff criteria Guide teams on testing practices, resolve technical roadblocks, and mitigate risks without creating a separate testing bottleneck Explore new testing tools and techniques to improve development agility, engineering efficiency, and the customer experience Required qualifications to be successful in this role: At least 7+ years of experience in software development and test engineering, or test automation, including building reusable testing frameworks and automated validation solutions Experience developing and running automated tests for applications deployed in containerized, cloud environments, preferably AWS Experience with Object Oriented Programming languages using Java or Python, with hands on experience in test automation libraries and frameworks such as REST Assured, JUnit, TestNG, or pytest Solid understanding of REST APIs to design effective tests across synchronous and asynchronous workflows Experience working with Docker containers Strong testing fundamentals and expertise in unit, integration, functional, contract, end to end, performance, and regression testing, including understanding when and where to apply each Experience validating data across relational databases, including data integrity, transformations, and consistency across distributed systems Hands on experience integrating automated tests into CI/CD pipelines using tools such as Jenkins, including test reporting, quality gates, and failure diagnostics Experience developing performance tests to evaluate application throughput, latency, scalability, and reliability under expected and peak workloads Ability to evaluate application readiness using test results, coverage, acceptance criteria, and known risks, and contribute evidence-based recommendations and signoffs Experience with issue tracking/backlog management tools like Jira Good to Have: Experience using mocking frameworks and service virtualization tools, such as Mockito or WireMock, to isolate application behavior, simulate dependencies, and validate failure scenarios Understanding of GraphQL APIs, batch processes, and event driven applications Understanding of distributed application behaviors such as retries, timeouts, duplicate messages, partial failures, and eventual consistency, and how to validate them through automation Education: Bachelor's degree in computer science or a closely related discipline. Benefits: Benefits are offered to eligible professionals on their first day of employment to include: Competitive compensation Comprehensive insurance options Matching contributions through the 401(k) plan and the share purchase plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well-being programs Employment Practices: VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check. This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective, job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team. Applicant information will be handled in accordance with VLink's privacy policy.

Job Description Looking for meaningful, high-impact work with a growing consulting firm? We've built a new kind of part-time role for an entrepreneurial-minded professional where we offer the opportunity to work 15-20 hours per week while maintaining a day job if you choose. We are creating a new type of part-time job for the experienced data professionals out there that take pride in being able to do things 2-3 times faster than the average and thrive in an environment where your value is tied to your output and not the politics of an organization. If this sounds like you, read on. Responsibilities: Generally speaking, a Sr Data Engineering Consultant will be helping the client build API connections and integrations, analytical databases, and driving the adoption of DataBricks across the organization. You will be an expert in the data engineering field with practical experience and can do just about anything when it comes to driving data engineering value in an organization. The specific responsibilities will continue to evolve as we get more and more guidance from the client and ideas from you! We need someone that takes pride in rolling up their sleeves to create lots of value for the client through data warehousing, enhancing the data infrastructure, integrating automation, optimizing SQL queries, building data connections and just generally being a technical expert as we help drive our clients along the digitization path towards becoming more advanced. Qualifications: You should be exceptionally talented in any and all data engineering methodologies (i.e. Python coding, data warehousing, SQL coding, data architecture development, building data pipelines end to end and integrating data connections etc.) You need to have experience working in the cloud and with data technologies (i.e. you need to be able to build data pipelines end to end). Examples include working in Azure Data factory, AWS lambda functions, Snowflake, Databricks etc. Your skills can be acquired through the school of hard knocks or through a high-value education (possibly in computer science or another technical field). We are flexible on the education piece, but not the experience piece (you need a minimum of 4 years experience in data engineering) but we prefer 10 years or more. You need to be entrepreneurial-minded and flexible in your approach to creating value. You need to have experience integrating data engineering solutions within larger firms Experience in the Utilities Industry would be a plus. Additionally, you need to be the "most productive" person in your space - because this is a 15-20 hour / week role, we need to produce results with less time. If you are someone that thrives on being hyper-productive and that gives you satisfaction and energy, that is a good sign. Our Business: While we continue to evolve in our offerings, at our core, we are a Data-Focused Consulting Firm . Our projects span across the following 9 service areas: Data Architecture, Data Engineering, Data Automation, Data Analytics & Modeling, ETL & Data Visualization, Application Development, Upskilling & Technical Project Management, Product Strategy, Strategic Communications. We are a "people first

Job Description Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique? Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code; you're actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow.

Job Description Title: IT/OT Infrastructure Engineer - GMP Manufacturing & GxP Systems Location: Boulder, CO (Onsite, Monday-Friday) Employment Type: Contract - 1 Year Status: Accepting Candidates About the Role Seeking an experienced IT/OT Infrastructure Professional to support IT systems, laboratory equipment, and GxP manufacturing infrastructure. The role focuses on maintaining system reliability, troubleshooting technical issues, and ensuring GMP/GxP compliance across laboratory and manufacturing environments. Key Responsibilities Manage and maintain IT/OT infrastructure supporting laboratories and GxP manufacturing equipment. Install, configure, maintain, and troubleshoot IT hardware, software, servers, and computing devices. Provide technical support for computerized systems and equipment in analytical laboratories and manufacturing environments. Support industrial automation infrastructure , including field devices and networked systems. Maintain 21 CFR Part 11 compliance , security protocols, and data integrity requirements. Collaborate with global teams and suppliers to resolve technical issues and support audits. Qualifications Bachelor's degree from an accredited university with 3+ years of experience . Experience with GMP/GxP manufacturing technology or regulated manufacturing systems. Experience managing IT/OT infrastructure for laboratories and production facilities. Knowledge of 21 CFR Part 11 compliance and GMP systems or equipment. Basic understanding of IT networking and security . Knowledge of PLCs and industrial automation is preferred.

Job Description Role : LoanIQ Production Support Location: Jersey City, NJ (Onsite) Duration: Full-Time/Permanent Exp.: 5+ Yrs. Description: We are looking for an experienced LoanIQ Production Support Lead to lead endtoend production support incident management and operational stability for the LoanIQ platform and its integrated ecosystem The ideal candidate should have strong handson LoanIQ support experience excellent troubleshooting capabilities and solid technical exposure across NET Oracle SQL Server J2EE UNIX Informatica MQ Mule and OpenShift The role requires strong experience in highseverity incident management root cause analysis monitoring release support and continuous service improvement Key Responsibilities Lead endtoend LoanIQ production support and maintain overall platform stability Manage highseverity incidents service restoration escalations and problem followups Troubleshoot LoanIQ batch processing job failures feeds files and integration issues Investigate upstream and downstream applicationinterface failures Proactively monitor production health and identify potential operational risks Analyze business impact and recommend appropriate risk mitigation and preventive actions Use Splunk and Dynatrace for monitoring troubleshooting log analysis and performance investigation Support LoanIQ releases upgrades implementations infrastructure changes and production deployments Troubleshoot application and platform issues across NET Oracle SQL Server J2EE UNIX Informatica MQ Mule and OpenShift Perform root cause analysis RCA for recurring and critical production issues Maintain support runbooks operational procedures knownerror documentation defects and workarounds Provide timely incident status and escalation communication to business and technology stakeholders Partner with business CIO infrastructure vendor engineering and platform teams Participate in oncall support for critical incidents weekend deployments infrastructure changes disaster recovery exercises and industry testing Drive continuous improvement automation operational resilience and service stability Required Skills 10 years of experience in application development andor production support Strong handson experience supporting the LoanIQ platform in production Strong experience in L2L3 Production Support and Incident Management Experience handling P1P2 or highseverity production incidents and service restoration Strong troubleshooting experience involving batch jobs feeds files interfaces and integrations Technical knowledge of NET Oracle SQL Server J2EE UNIX Informatica MQ Mule and OpenShift Strong understanding of application monitoring log analysis and production health monitoring Experience with root cause analysis problem management and operational risk management Experience supporting production releases deployments upgrades and environment changes Strong stakeholder management communication and documentation skills Ability to participate in an oncall and afterhours production support rotation Desired Skills Strong experience with Splunk and Dynatrace Knowledge of ITSM ITIL processes including Incident Problem and Change Management Experience supporting complex financial or banking applications Exposure to disaster recovery and business continuity exercises Experience working with infrastructure middleware database product and vendor teams Primary Skills LoanIQ Production Application Support Incident Problem Management UNIX Oracle SQL Server NET J2EE Informatica MQ Mule OpenShift Splunk Dynatrace RCA BatchJob Support

Job Description We are looking for an experienced Performance Testing / Engineering professional with strong hands-on expertise in designing, developing, and executing enterprise-level performance testing solutions. Required Skills: About 10+ years of previous hands-on experience as Performance Testing/Engineering experience using JMeter, LoadRunner, Locust, or similar tools, including performance architect AI/ML expertise including Python, LLMs, GenAI frameworks, prompt engineering, and AI-assisted automation development. An understanding of web protocols including HTTP, HTTP, Citrix etc. Any experience in any load management applications like LoanIQ (Finastra). If someone has development experience, that will be better. Must be well versed in using VUGen 9.5 or greater for advanced test script development beyond the built-in record and playback capabilities. Requires specialized Python programming skills Experience in Programming languages such as C, Java, SQL query development, Scripting, etc. Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines. Knowledge of Splunk to be able to do better load test analysis. Has an understanding of the distributed load test environments, and the application architecture Knowledge of performance bottlenecks and end-to-end performance web performance measures. Strong analytical skills with a natural ability to research and resolve complex systems, applications and user issues. Excellent verbal and written communication skills. Ability to troubleshoot issues in the load and performance test environment. Strong communication, stakeholder management, problem-solving, and ability to collaborate across development, architecture, production support, and leadership teams. Desired Skills : Ability to use different monitoring/profiling tools (Dynatrace, CA Wily Introscope, AppDynamics, AWR reports etc.) to monitor, gather, and report application performance on Windows or Linux machines. Has an understanding of the distributed load test environments, and the application architecture. An understanding of web protocols including HTTP, Citrix etc. Programming language - including specialized Python programming skills. Experience with cloud platforms (Azure/AWS/GCP), Kubernetes/OpenShift, microservices, and distributed architectures. Observability and monitoring expertise using Dynatrace, Splunk, AppDynamics, Grafana, ELK, or similar platforms. Experience developing AI agents/copilots for test automation, performance analysis, anomaly detection, and predictive capacity planning.

Job Description Title: Senior Test Automation Engineer / Test Automation Lead Location: New York, NY, United States Experience: 10+ Years Position: Full-time We are looking for an experienced Senior Test Automation Engineer / Test Automation Lead to join our growing team! If you are passionate about automation, quality engineering, and leading high-impact testing initiatives, we'd love to connect with you. Key Responsibilities: • Design, develop, and maintain robust automation frameworks • Drive End-to-End, UI, and API automation using Tosca & Selenium • Collaborate directly with clients and stakeholders to define QA strategies • Integrate automation frameworks with CI/CD pipelines • Mentor QA team members and promote best practices Required Skills: 10+ years of experience in QA & Test Automation Strong hands-on expertise in Tricentis Tosca & Selenium Experience with qTest, VersionOne, and AI tools like Cursor AI Strong understanding of Agile/Scrum methodologies Excellent coding and problem-solving skills ? Added Advantage: Healthcare domain experience (Payer, Provider, Claims, EHR, HIPAA) Experience with UFT or Playwright Prior Tosca implementation experience What We're Looking For: • Strong ownership mindset and ability to work independently • Critical thinker who can solve technical challenges proactively • Excellent communication and client-facing skills • A leader who can provide candid feedback and drive quality excellence

Job Description About the Role Pinnacle Partners is recruiting for an Applications Engineer in Indianapolis, IN. This position focuses on CNC programming, machining applications, customer demonstrations, and developing turnkey manufacturing solutions. The ideal candidate will have strong CAM and CNC programming experience, with the ability to take a customer part from an engineering print or 3D model through programming, tooling selection, machining, and final demonstration. This role combines hands-on machining expertise, technical problem-solving, and customer interaction, with travel generally capped at 25%. Key Responsibilities: Develop accurate machining and cycle-time estimates using customer prints, engineering drawings, and 3D solid models. Program CNC machines to manufacture customer parts using appropriate speeds, feeds, tooling, and toolpaths. Develop and execute cutting demonstrations showcasing 3-axis and 5-axis milling machines and multi-axis lathes. Determine appropriate tooling, workholding, fixturing, and machining processes for customer applications. Evaluate customer parts and manufacturing requirements to determine the best machine, tooling, and processes to produce the finished product. Run customer parts on CNC machines to validate programming, machining processes, and production capabilities. Conduct time studies to evaluate machining cycle times, efficiency, and overall machine performance. Travel to customer facilities to perform machine runoffs and demonstrate the equipment's ability to manufacture customer parts. Conduct CNC milling and lathe programming and operator training classes. Provide technical support to customers, including troubleshooting machining applications, programming challenges, and operational issues. Collaborate with Sales, Marketing, and Service teams to provide technical expertise and application solutions. Assist customers with optimizing machining processes, improving efficiency, and maximizing machine performance. Utilize advanced knowledge of CNC machine functionality, performance, programming, and operating systems to support customer applications. Manage multiple customer projects simultaneously, coordinating programming, machining demonstrations, and project timelines. Support turnkey projects by developing complete manufacturing solutions, from initial part review and machine selection through programming and final implementation. Provide technical expertise throughout the pre-sales process to demonstrate how CNC equipment can meet customer manufacturing requirements. Requirements: Two- or four-year degree in a STEM-related field, preferably related to machining, manufacturing, or engineering, or equivalent relevant experience. Strong CNC programming experience, including the ability to take an engineering print or 3D model and program a machine to manufacture the part. Extensive CAM experience with the ability to independently develop programs and toolpaths. Understanding of machining speeds, feeds, tooling selection, workholding, and fixturing requirements. Experience with 3D modeling or 2D/3D CAM programming. Proven CNC machine tool applications experience involving 3-axis and 5-axis mills and multi-axis lathes. Ability to perform machining time studies and evaluate cycle times. Strong mechanical aptitude and technical problem-solving skills. Ability to evaluate customer manufacturing requirements and develop practical machining solutions. Strong communication and customer service skills, with the ability to explain technical processes and demonstrate equipment capabilities. Ability to manage multiple projects and competing priorities. Willingness and ability to travel up to 25%, including occasional overnight stays. Ability to work independently at customer facilities and conduct machine demonstrations and runoffs. Preferred: Experience developing turnkey manufacturing solutions, from initial part review and machine selection through programming and final production. Previous experience selecting tooling, workholding, and fixturing for complex machining applications. Background as a CNC Operator, CNC Setup Technician, CNC Programmer, or Applications Engineer. Experience providing technical support directly to end-user customers. Familiarity with multiple CAM software platforms. Experience with 3D printing, additive manufacturing, or other engineering-related hobbies and projects. Strong interest in machining, manufacturing technology, and hands-on technical problem-solving. Bilingual in Spanish. Experience supporting customer applications involving complex parts and machining requirements. Benefits Overview: Annual base salary ranging from approximately $60,000-$90,000. Annual bonus potential. Comprehensive benefits package. Additional week of time off typically built into the holiday schedule due to the Christmas/New Year's shutdown. Limited travel, generally capped at 25%, with efforts to keep employees home on weekends. Shared company vehicle, company credit card, and travel expense reimbursement through Concur for applicable travel. Travel time is paid. Standard first-shift schedule, generally 7:00 AM-4:00 PM or 8:00 AM-5:00 PM. On-the-job training and development alongside an experienced applications engineering team. Collaborative corporate office environment featuring an onsite gym and open-concept workspace. Opportunity to work with advanced CNC machine tools and a variety of complex customer machining applications. Opportunity to develop complete manufacturing solutions and directly influence customer productivity and manufacturing capabilities. Explore More Engineering Opportunities This role falls within our Engineering/Manufacturing division , where we specialize in placing professionals in areas such as: Quality Engineering and Quality Assurance Mechanical/Electrical Engineering Manufacturing/Process Engineering CNC Machining and Programming Field Service Engineering Technical Support and Parts Management Controls and Automation Engineering Project Engineering Operations / Plant Engineering Explore additional Engineering roles and learn more about how we support Engineering professionals: Find Jobs or Manufacturing & Engineering Opportunities Not the right fit? We're hiring across multiple divisions, including: Human Resources Administrative & Customer Service Information Technology Accounting & Finance

Job Description Network Engineer (2 openings) Location: New York, NY, onsite at the client's office. At least 3 days a week in the office, FTE Experience: 7-10+ years in hands-on network engineering. Network Engineer- 2 roles- JD is changed; PFB updated JD with expectation. Location- NYC, NY Full-time only, F2F at NYC office. Look for locals What matters most: Linux and Kubernetes depth comes before networking credentials. He wants people who can walk into the lab on day one, test and certify hands-on, and communicate clearly. A CCIE number matters less than proven hands-on work. Must-haves: Linux networking and administration, Kubernetes and container networking (CNI), and kubectl eBPF, especially Cilium for policy enforcement, observability and BGP integration Python and Ansible (Robot Framework is a plus), Git/GitHub and Infrastructure-as-Code OSPF, BGP, IGMP and PIM Cisco Catalyst and Nexus, IOS/XE/NX-OS (limited XR), and Arista 7280, 7504 and 7060 Lab testing and certification: CVE analysis, rapid patch and code certification, and bug scrubs tcpdump and Wireshark, plus IXIA or Spirent performance testing 8+ years of LAN/WAN across campus, branch, WAN/MAN, data center and low-latency networks. CCNP expected; CCIE not required. Nice to have: interop with F5, A10, Fortinet and SRX (MAB/802.1x), and cybersecurity and network risk assessment. Key Responsibilities: Network Routing and Switching Engineer is responsible for testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) Rapid certification of patches/ SMU/ codes - with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. Develop and design testing for various network hardware, including routers, switches. Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. Document and present recommendations and finding to the wider teams, including testing results and certifications. He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. Providing guidance to the wider teams related to platforms and designs This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innovating, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. The position is in NY, requires on site presence 3 - 4 days weekly. Experience: Senior level, experienced, can lead projects and work independently. 8+ years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. Experience with testing design and certification of products in LAB environments is highly desirable. CCIE or at a min CCNP level experience. Skills Required: Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. Experience with Cisco Platforms such as Catalyst and Nexus. Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. Good foundation in Linux administration, networking, and automation. Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel-level telemetry Good knowledge of Python, Github. Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. Some proficiency in the ROBOT Framework is a big plus Experience with Arista Platforms such as 7280, 7504, 7060 etc. Experience developing strategies with multiple vendors. Experienced with creating design documents for each certification which includes engineering guidelines. Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. Understanding of network protocols, network platforms such as Cisco/Arista to design and troubleshoot new implementations. Good protocol level understanding/ Wireshark. Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. IP Routing Platforms, ISR4k, ASR1K, Catalyst. Cisco/ Arista Switching Platforms Catalyst switches. strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. Understanding of new protocols being deployed intra and inter Data Center. AWS (or Azure cloud equivalent) is desirable. Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. Cloud computing, Virtualization industry standard and trends, server technologies a plus. Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. L2 and L3 QoS are a plus. Other Requirements: Manage vendors, coordinate testing and evaluate PoC. Possess ability to quickly and effectively interpret data. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Ability to work independently and within a global testing team environment. Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. Ability to prioritize effectively with good time management skills. Excellent interpersonal skills, strong logical and analytical skills Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must Ability to move quickly and multitask in a fast-paced environment. Stakeholder management and providing reports and overviews to both technical and non-technical senior management.

Job Description Business Analyst - Operations Automation Role type: Business Analyst Role purpose We are looking for an experienced Business Analyst to join the Operations Automation Programme in Chicago. The role will lead business analysis across the end-to-end delivery lifecycle, turning operational needs into clear, development-ready solutions and supporting delivery through build, validation and release. Key accountabilities Lead structured discovery with Operations users and SMEs to understand workflows, pain points, business needs and future opportunities. Translate discovery outcomes into clear process flows, business and functional requirements, user stories, acceptance criteria and supporting documentation. Define data requirements, including source data, business rules, mappings, validation rules and related data schemas. Own the quality and readiness of the Azure DevOps (ADO) backlog, ensuring Features and PBIs are traceable, prioritized and ready for development. Lead backlog refinement with Functional Leads, Design, Engineering and business stakeholders. Work closely with developers throughout delivery, resolving requirement gaps and supporting solution decisions. Validate delivered functionality against requirements and acceptance criteria, and support UAT and release activities. Establish consistent BA standards and provide guidance and coaching to other BAs across the Programme. Essential experience Significant experience as a Senior Business Analyst, owning the full BA lifecycle from discovery and solution design, and through implementation. Strong experience leading workshops and translating complex operational problems into actionable requirements. Excellent requirements engineering skills, including process modelling, user stories, and Given/When/Then acceptance criteria. Hands-on ADO experience covering backlog management, Features/PBIs, refinement, prioritization, sprint planning, and traceability. Experience defining requirements for data-intensive solutions, including schemas, mappings and validation rules. Experience working directly with UX/design, engineering and technical leads in Agile delivery teams. Strong stakeholder management and communication skills across business and technical audiences. Desirable experience Experience with Figma, Confluence/ADO Wiki and SharePoint alongside ADO. Experience working in globally distributed delivery teams. What success looks like A clear line from operator need to delivered capability: discovery is structured, requirements and data are understood, ADO contains a development-ready backlog, and delivered functionality is traceable to the original business need.

Job Description We are looking for an experienced Linux Systems Engineer to join a high-performance technology team within a high-frequency trading firm. The role will focus on building, maintaining and optimizing bare-metal Linux infrastructure, with an emphasis on ultra-low-latency performance, hardware optimization and system reliability. The ideal candidate will have deep Linux engineering experience, strong knowledge of operating system internals and hands-on experience working with physical server hardware in performance-critical environments. Key Responsibilities Design, build and maintain high-performance bare-metal Linux infrastructure. Provision, configure and manage physical servers, including OS installation, BIOS, firmware and hardware configuration. Optimize Linux systems for low latency, high throughput and minimal system jitter. Perform kernel tuning, CPU isolation, IRQ affinity, NUMA optimization and CPU scheduling configuration. Analyze and troubleshoot hardware, kernel and operating system performance issues. Work with network engineering teams to optimize low-latency Linux networking. Automate infrastructure deployment, configuration and management. Develop tooling and scripts to improve infrastructure performance and operational efficiency. Work closely with developers, quantitative researchers and trading teams to support critical trading infrastructure. Essential Skills & Experience Strong commercial experience as a Linux Systems Engineer or Linux Infrastructure Engineer. Extensive hands-on experience building and managing Linux on bare-metal physical servers. Deep understanding of Linux internals, kernel architecture and operating system behavior. Experience with Linux performance tuning and low-latency optimization. Strong knowledge of CPU architecture, NUMA, memory management, interrupts and processor scheduling. Experience with server hardware, BIOS/UEFI and firmware configuration. Strong troubleshooting and performance analysis capabilities. Proficiency in Bash and/or Python scripting. Experience with infrastructure automation and configuration management. Desirable Experience Experience optimizing Linux for microsecond or sub-microsecond latency. Knowledge of Solarflare, Xilinx or NVIDIA/Mellanox network cards. Experience with DPDK, OpenOnload, RDMA or kernel bypass technologies. Understanding of TCP/IP, UDP, multicast and high-performance networking. Familiarity with Intel Xeon and AMD EPYC architectures. Experience with PTP, hardware timestamping and colocated data center environments.

Job Description Job Title: Embedded SDV Lead Location: Warrendale PA Job Description We are seeking an experienced SDV Lead to define and drive the Software-Defined Vehicle (SDV) strategy, roadmap, and execution across vehicle platforms. The role requires strong program management, strategic planning, cross-functional leadership, and an understanding of automotive software architecture, connected vehicle technologies, and software lifecycle management. Key Responsibilities Define and drive the SDV vision, strategy, and execution roadmap aligned with business objectives and global OEM strategies. Translate business goals into prioritized initiatives, programs, milestones, and long-term software innovation plans. Lead SDV transformation across vehicle platforms, applications, and lifecycle capabilities. Identify and prioritize SDV use cases, including infotainment, OTA updates, digital keys, voice user interfaces, and connected vehicle services. Collaborate with engineering, product management, business, and digital teams to establish program priorities, KPIs, milestones, and delivery plans. Partner with engineering teams on SDV architecture, including central compute platforms, zonal architecture, vehicle operating systems, middleware, APIs, cloud connectivity, and OTA infrastructure. Align SDV platform planning with technologies and ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Drive collaboration with global engineering teams, Tier-1 suppliers, technology partners, and business stakeholders. Manage vehicle software lifecycle capabilities, including OTA updates, feature activation, subscription-based features, software monetization, release management, and post-launch monitoring. Develop business cases and ROI models for ECU consolidation, cost optimization, software reuse, subscription revenue, and feature monetization. Track value realization against business objectives, vehicle volumes, pricing strategies, and customer lifetime value. Establish governance frameworks for milestone tracking, risk management, executive reporting, and continuous improvement. Assess organizational capability gaps across embedded software, cloud technologies, DevOps, engineering automation, and validation and testing. Support SDV innovation labs, prototyping environments, and simulation and validation platforms while promoting software development best practices. Required Skills and Qualifications Strong experience in SDV strategy, program management, automotive software, or vehicle platform transformation. Understanding of automotive SDV architecture, central compute, zonal architecture, middleware, vehicle operating systems, and hardware-software decoupling. Knowledge of connected vehicle technologies, OTA updates, digital services, and software lifecycle management. Familiarity with automotive software ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Experience in cross-functional program planning, stakeholder management, risk mitigation, and executive reporting. Ability to develop business cases, ROI models, KPIs, and value realization plans. Understanding of embedded software engineering, cloud technologies, DevOps, and software validation processes. Strong strategic thinking, communication, leadership, and decision-making skills. Preferred Experience Experience working with automotive OEMs, Tier-1 suppliers, or connected vehicle technology partners. Exposure to subscription-based vehicle features, software monetization, and digital services. Experience leading large-scale automotive software transformation programs. Knowledge of industry trends, competitor benchmarking, and emerging SDV technologies.

Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.

Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card

Job Description Role: Enterprise DevOps Engineer Location: Trenton, NJ (Hybrid - 3 Days Onsite / 2 Days Remote) Employment Type: Contract Duration: Long Term Interview: Final Round - Face-to-Face Note: Local candidates only. Job Description: Seeking an experienced Enterprise DevOps Engineer to architect, automate, and govern enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake environments. The ideal candidate will have strong hands-on experience with Copado, AWS DevOps services, GitHub Actions, infrastructure as code, and automated release management. Key Responsibilities: Design and manage enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake. Build and maintain Salesforce deployment workflows using Copado , including metadata validation and release management. Develop serverless applications and backend microservices using Python or Node.js, AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Build event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS, and Snowflake. Provision and manage cloud infrastructure using CloudFormation and Terraform . Establish Git/GitHub branching strategies, pull request workflows, and release governance. Integrate automated testing, security scanning, secrets management, and monitoring into CI/CD pipelines. Support Snowflake schema migrations, sandbox management, data masking, and deployment automation. Maintain technical documentation, deployment architecture diagrams, and operational runbooks. Required Skills & Experience: Bachelor's or Master's degree in Computer Science, IT, or a related field. 7+ years of enterprise version control and release engineering experience with Git, GitHub, and branching strategies . 4+ years of Salesforce CI/CD architecture and Copado release management . 5+ years of AWS development and infrastructure experience, including Lambda, S3, IAM, CloudFormation, and Terraform . 5+ years of scripting and pipeline automation using Python, Bash, and GitHub Actions . Preferred Skills: Salesforce DX (SFDX) and Metadata API. Snowflake deployment automation and schema migrations. AWS Certified DevOps Engineer or equivalent AWS certification. LinkedIn and Salesforce Trailblazer profiles, if available.

Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.