297 jobs found

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

Job Description W2 only option, we cannot consider 1099 or C2C candidates Role Overview We are looking for an ETL Developer who is passionate about data integration, healthcare data transformation, and building reliable data pipelines that support client implementations. In this role, you will design, develop, and maintain ETL processes that move and transform data between client systems and our healthcare platform. This is a hands-on individual contributor role. You will work closely with implementation consultants, product teams, and client stakeholders to ensure data is delivered accurately, securely, and on schedule. If you enjoy solving complex data challenges, have strong SQL and ETL skills, and want to help healthcare organizations improve operational outcomes through technology, this role is a great fit. What You'll Do Data Integration & ETL Development Design, develop, and maintain ETL workflows to support new client implementations and ongoing production operations. Build scalable processes for extracting, transforming, validating, and loading healthcare data. Create reusable components and mapping frameworks that improve implementation efficiency. Troubleshoot and resolve data integration issues across multiple client environments. Data Quality & Validation Analyze source data and identify data quality concerns proactively. Implement validation rules and reconciliation processes to ensure data accuracy and completeness. Perform root cause analysis on data discrepancies and provide resolution recommendations. Collaborate with QA and implementation teams to support testing activities. Client Implementations Work directly with implementation teams to understand client-specific business and data requirements. Translate business mapping documents into technical ETL specifications. Support go-live activities and post-implementation stabilization efforts. Provide technical guidance during data conversion and migration activities. Collaboration & Continuous Improvement Partner with application developers, database administrators, and project teams throughout implementation projects. Participate in design reviews and technical discussions. Contribute to documentation, standards, and best practices. Identify opportunities to improve automation, monitoring, and operational efficiency. What You Will Bring ETL & Data Integration Foundations (Must Have) Strong hands-on experience developing ETL processes using enterprise ETL tools or custom frameworks. Advanced SQL skills with experience querying, transforming, and validating large datasets. Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or MySQL. Understanding of data mapping, transformation logic, and reconciliation processes. Data Management Skills (Must Have) Experience analyzing and troubleshooting complex data issues. Knowledge of data warehousing concepts and dimensional modeling. Ability to optimize ETL jobs for performance and scalability. Healthcare Data Experience (Preferred) Experience with healthcare data standards such as HL7, FHIR, EDI, or claims data. Familiarity with member, provider, clinical, or care management datasets. Understanding of HIPAA and healthcare data security requirements. Communication & Collaboration Strong verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders. Strong problem-solving and analytical thinking skills. Proven ability to manage multiple priorities in a client-facing environment. Engineering Ecosystem (Good to Have) Experience with Azure Data Factory, SSIS, Informatica, Talend, or similar tools. Exposure to cloud-based data platforms. Familiarity with CI/CD practices and source control tools such as Git. Qualifications B.E. / B.Tech / M.Tech in Computer Science, Information Technology, Engineering, or related discipline. 5+ years of ETL development and data integration experience. Experience supporting enterprise software implementations preferred. Primary Technologies ETL Tools : SSIS, Azure Data Factory, Informatica, Talend, or equivalent Databases : SQL Server, PostgreSQL, Oracle, MySQL Data Formats : CSV, XML, JSON APIs & Integration: REST APIs, Web Services Source Control : Git, Azure DevOps Healthcare Standards (Preferred): HL7, FHIR, EDI

Job Description Role: Data Engineer - Real-Time & Cloud Platforms Location :- Nashville, TN ( Onsite from day 1 ) Duration: Long Term Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.

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

Job Description AI Data Engineer Location: Remote (Chicago-area preferred for occasional onsite meetings) Type: 12-Month Contract (Extendable / Contract-to-Hire) Join a premier global financial firm's rapidly growing Data & AI Automation team. You will architect the data pipelines, backend infrastructure, and agentic connectors that power production-grade AI applications across the enterprise. What You'll Do Build AI Data Pipelines: Design end-to-end pipelines in Microsoft Azure to ingest, parse, and structure raw documents (PDFs, financial records) into enterprise databases. Power Production AI Apps: Architect data flows and backends (Python, Streamlit, React) to scale AI initiatives from POCs into high-impact internal tools. Automate Financial Workflows: Partner with Tax and Finance teams to extract data, apply business logic, and automate complex workflows like IRS form completion. Lead & Future-Proof: Guide offshore mid-level engineers through code reviews and architectural alignment, while building Model Context Protocol (MCP) servers to expose internal databases for 2027 agentic AI initiatives. Accelerate Delivery: Leverage AI coding assistants (Claude, ChatGPT, Codex) to boost development and debugging velocity. What You Bring 3+ years of experience as a Data Engineer. Strong proficiency in Python, Microsoft Azure, and modern cloud data platforms (Microsoft Fabric, Snowflake, or Databricks). Proven experience supporting the data backend for active, production AI applications and unstructured document parsing. Proficiency with AI coding tools and strong cross-cultural communication skills. Bonus: Experience with MCP servers/connectors, Streamlit/React, financial/tax automation, or mentoring offshore teams. Details & Benefits: Visionaire Partners offers full-time W2 contractors comprehensive medical, dental, vision, life, disability, FSA, and a 401(k) with up to a 4% match. Must be authorized to work in the U.S. (no sponsorship available).

Job Description Computer Numerical Control Programmer Axiom Engineering Wichita, Kansas Onsite About the Opportunity Axiom Engineering is a precision aerospace manufacturer with a reputation for solving challenging machining problems and responding when customers need solutions. We're investing in advanced machining technology, automation, and palletized manufacturing systems to expand what we can accomplish and how quickly we can deliver. But technology alone doesn't create that capability. The people who know how to put it to work do. We're looking for an experienced CATIA CNC Programmer who wants to be part of building that next level of manufacturing capability. Someone who enjoys challenging work, moves confidently between projects, and sees opportunities where others see obstacles. This isn't a position focused on maintaining the status quo. We're looking for someone who wants to help us push beyond it. What You'll Be Doing Develop CNC programs using CATIA for complex precision aerospace components. Program 3-, 4-, and 5-axis machining centers, developing effective machining strategies for a wide range of manufacturing challenges. Bring new components and programs into production, from initial programming through successful prove-out. Explore new approaches to machining, workholding, and tooling that expand our manufacturing capabilities. Take advantage of new equipment, automation, and palletized manufacturing systems to improve how we produce parts. Work directly with setup technicians and machinists to solve problems and move programs into production. Improve existing processes where opportunities exist to increase capacity, efficiency, and reliability. Manage multiple programming priorities in an environment where responsiveness and execution matter. What We're Looking For Strong, hands-on CATIA CNC programming experience. Aerospace manufacturing experience is required. Experience with complex, close-tolerance components and multi-axis machining. A solid understanding of machining strategies, tooling, workholding, and practical manufacturing processes. The ability to independently turn engineering models and drawings into effective, production-ready CNC programs. Mastercam experience is highly desirable for supporting legacy programs when needed. VERICUT experience is highly desirable for CNC program verification and simulation. Someone who thinks beyond simply generating toolpaths and considers the entire manufacturing process. A problem solver who is comfortable with changing priorities, challenging assignments, and a fast-moving production environment. Someone who takes ownership, communicates well, and enjoys seeing their work make a difference. Why Axiom? We're a company that believes speed, capability, and the willingness to take on difficult work create opportunities. Our customers depend on us to deliver precision components, but they also count on us to respond when their manufacturing challenges become urgent. We're building the people, technology, and processes that will allow us to do more of that work, reach new customers, and take on increasingly demanding opportunities. As part of our programming team, you'll have a direct influence on what we can manufacture, how quickly we can respond, and the opportunities we're able to pursue. If you're the kind of programmer who wants more than a queue of assignments-someone who wants to help shape what a manufacturing company can become-we'd like to talk.

Job Description Job Description We are looking for an experienced QA Automation Engineer with strong hands-on expertise in Selenium and Playwright automation frameworks and mandatory Healthcare domain experience. The ideal candidate should have experience designing, developing, and executing automated test scripts, building automation frameworks, and validating complex healthcare applications. Required Skills Strong hands-on experience with Selenium WebDriver . Strong hands-on experience with Playwright - mandatory. Must have experience in both Selenium and Playwright. Mandatory Healthcare domain experience (Healthcare, Health Insurance, Payer, Provider, or related applications). Strong experience in Java, Python, or JavaScript/TypeScript. Experience developing and maintaining automation frameworks. Strong knowledge of API testing using REST Assured or Postman. Experience with functional, regression, integration, and end-to-end testing. Experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Azure DevOps. Strong understanding of Agile/Scrum methodologies. Excellent analytical, debugging, and problem-solving skills.

Job Description Our valued client in the Denver Tech Center is seeking a Sr. Platform Engineer for their team. This is a hybrid role that requires you to reside in the Denver-Metro area. This engagement is a six-month contract-to-hire opportunity. Position Summary A senior, hands-on platform engineer with ownership across the whole internal developer platform: infrastructure, CI/CD, observability, security, and cost, not just one slice of it. This role carries more scope and more independent judgment than the Platform Engineer role, and may informally point the technical direction for other engineers on a given project, without a formal management title. Key Responsibilities • Own the internal developer platform (IDP): drive the design and evolution of the self-service workflows, the Golden Paths, that the rest of engineering relies on • Lead infrastructure as code practice: set the standard for how the team provisions and manages infrastructure, and build the automation others follow • Own CI/CD architecture: design and evolve the build, test, and deployment pipelines the platform depends on, including how GitOps practices get applied • Drive observability strategy: make sure the platform is monitored, logged, and traced well enough that problems surface before anyone has to ask • Own performance reporting: build and maintain the metrics and reporting layer that shows leadership and the rest of the organization how the platform is performing month to month • Set the security and access standard: establish how secrets, access control, and role-based access control (RBAC) get handled across the platform • Own platform cost and efficiency: track spend and bring cost-efficiency recommendations forward • Guide other engineers: give informal technical direction and review to the rest of the team Required Qualifications • Programming and automation: strong Python skills and a track record of building real automation and integrations at production scale • Cloud and containers: deep experience with a major cloud provider (AWS or Azure) and containerized infrastructure running in production • CI/CD and delivery practices: considerable experience owning pipelines end to end, including secure, modern deployment practices • Infrastructure as code at scale: experience running IaC practices, such as Terraform, across a real production environment • Security mindset: bake security into everything you build and hold the rest of the team to the same standard • Cost awareness: experience applying FinOps or similar cost-management practices to cloud spend at scale • Reporting and transparency: track record of building metrics or reporting capability that gives leadership and other teams real visibility into platform performance • Working with developers: track record of treating the platform's users as customers and adjusting the platform based on their feedback Preferred Qualifications • Experience informally mentoring or guiding other engineers • Experience with hybrid on-premises and cloud environments • Experience with observability or log management platforms • Exposure to cloud cost management or FinOps practices Certifications are a plus but not required. Hands-on experience is weighted more heavily

Job Description We are seeking an experienced Chief Engineer to oversee building operations, maintenance, and engineering services for a Class A commercial office property in Tampa. This individual will ensure the efficient operation of all building systems while maintaining high standards of safety, reliability, tenant satisfaction, and property appearance. The ideal candidate brings strong technical expertise, hands-on leadership, and a proactive approach to preventive maintenance and building operations. Job Responsibilities Oversee daily operations, maintenance, and repairs of all building systems, including HVAC, electrical, plumbing, mechanical, and life safety systems. Manage preventive maintenance programs, equipment inspections, work orders, and capital improvement projects to ensure optimal building performance. Supervise, train, and support building engineering personnel while coordinating outside contractors and service vendors. Troubleshoot and repair complex mechanical systems, including chillers, boilers, cooling towers, AHUs, VAVs, and building automation systems (BAS/DDC). Partner with property management on operating budgets, capital planning, vendor contracts, energy efficiency initiatives, and expense management. Ensure compliance with building codes, OSHA regulations, fire and life safety requirements, and company standards while delivering exceptional tenant service. Qualifications Minimum 5-7 years of commercial building engineering experience, including significant experience with Class A office properties. Previous experience as a Chief Engineer, Lead Engineer, or Senior Building Engineer with demonstrated leadership and supervisory capabilities. Strong working knowledge of commercial HVAC systems, chillers, boilers, electrical distribution, plumbing, BAS/DDC controls, and life safety systems. Proven ability to diagnose mechanical and electrical issues, perform hands-on repairs, and manage comprehensive preventive maintenance programs. Experience managing vendors, service contracts, operating budgets, capital projects, and building inspections. EPA Universal Certification preferred; relevant HVAC, electrical, or mechanical certifications and strong communication, organizational, and tenant-service skills highly valued.

Job Description Job Title: Cybersecurity Engineer ONSITE - New York City Metropolitan Area Our New York Government Client is seeking a Cybersecurity Engineer with strong technical skills in managing vulnerability scanning platforms, patching technologies, automation, and core network fundamentals. Responsibilities: Operating and optimizing scanning tools Building test environments Developing automation Dashboarding capabilities. Candidate should understand: Air gapped environments Risk based prioritization Key security domains such as infrastructure security, threat intelligence, security monitoring, and vulnerability assessment. Familiarity with common network protocols, segmentation principles, and traffic analysis is required to support secure operations and incident response.

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

Job Description Job: Software Development Manager - Mobile Technologies Location: Miami, FL (Hybrid) Job Type: Direct Hire What We Are Looking For We are seeking a Software Development Manager for Mobile Engineering to lead the team responsible for the architecture, development, delivery, and operation of large-scale React Native mobile applications supporting a 3M+ user install base. In this role, you will lead and grow engineers while staying close to the code-shaping architecture, reviewing critical changes, and working directly with the team to solve complex technical and production challenges. You will own the technical direction of the mobile platform and help evolve it toward a modern, modular (Superapp-style) architecture that can support multiple products, teams, and customer journeys. You'll help define how React Native and Expo are used end-to-end-from app structure and native integrations to CI/CD, over-the-air updates, observability, performance, and App Store / Google Play delivery. You will partner closely with Product, Design, Platform, and engineering leadership to translate business priorities into a mobile platform that can move quickly without sacrificing quality or maintainability. Responsibilities Own the technical direction and architecture of React Native applications across iOS and Android, balancing product velocity, performance, reliability, and long-term maintainability Design and evolve a modular, Superapp-style mobile architecture with clear feature boundaries, shared platform services, and reusable capabilities (authentication, navigation, analytics, experimentation, notifications, design system components, etc.) Lead adoption and best practices for modern React Native and Expo, including React Native New Architecture, Expo SDK, Expo Modules, and appropriate native escape hatches where platform-specific functionality is required Define and operate a safe over-the-air update strategy (Expo Updates / EAS Update), including runtime compatibility, release channels, staged rollouts, rollback, and clear rules for when a native store release is required Own mobile build and release engineering, including CI/CD tooling (EAS Build/Submit or equivalent), code signing, App Store and Google Play releases, release automation, and environment management Act as a hands-on technical leader: participate in design sessions, review critical pull requests, prototype/code high-leverage work, and jump into difficult debugging or production issues alongside the team Drive mobile performance and quality through measurable engineering practices (startup time, rendering performance, bundle size, memory use, crashes, ANRs, network behavior, and overall reliability) Establish strong observability and operational practices for mobile, including crash reporting, logging, release health, analytics, and rapid diagnosis of production regressions Create architecture standards and engineering guardrails for navigation, state management, data access, offline behavior, deep linking, feature flags, testing, dependency management, and native module usage Partner with backend and platform teams to design mobile-friendly APIs and service contracts; collaborate with Product and Design to deliver cohesive experiences across multiple mobile products and customer journeys Coach, mentor, and develop engineers; provide clear technical feedback, set expectations, and ensure meaningful career growth paths Continuously improve team execution and developer experience by reducing build friction, improving automation/testing, simplifying local development, and eliminating unnecessary process Qualifications Required Bachelor's degree in Computer Science (or related field) or equivalent practical experience 8+ years of software engineering experience, including significant experience building and operating production mobile applications 2+ years leading or managing software development teams while remaining technically engaged Deep experience with React Native, React, and TypeScript/JavaScript, including shipping a shared codebase to both iOS and Android Experience architecting large or multi-team mobile applications using modular architecture, shared packages/platform layers, monorepos, or Superapp-style patterns Strong experience with Expo and the modern Expo ecosystem (Expo SDK and EAS services such as Build, Submit, and Update); experience with expo-updates is especially valuable Understanding of React Native New Architecture concepts (Fabric, TurboModules, JSI/Codegen) and how they affect library selection, performance, and native integrations Experience designing safe mobile release strategies across App Store / Google Play releases and over-the-air JavaScript/asset updates Strong understanding of mobile CI/CD, automated testing, code signing, environment management, release automation, and production support Experience with mobile observability and performance tooling (crash reporting, release health, diagnosing production performance issues) Strong understanding of client/server architecture and APIs (REST and/or GraphQL), authentication, caching, network resilience, and mobile-specific API concerns Strong communication skills and the ability to make architecture decisions clear to engineers, product partners, and other technology leaders Preferred Qualifications Experience building and maintaining systems in a cloud environment (AWS preferred)

Job Description Senior Cloud Engineer Join a cloud engineering team responsible for building, operating, and improving secure, scalable cloud infrastructure. In this role, you will focus primarily on Microsoft Azure, using infrastructure as code, automation, and CI/CD practices to deliver reliable cloud services. You will collaborate with application owners, architects, infrastructure engineers, and business partners to accelerate delivery while maintaining security and governance standards. Job Details Salary: $140,000-$160,000 annually, plus a 10%-20% bonus Location: Tampa, FL; Plano, TX; or Camas, WA. On-site for the first 90 days, followed by up to 75 work-from-home days per year. Employment Type: Direct hire What You'll Do Design, deploy, and manage scalable, resilient Azure cloud infrastructure using Terraform and other automation technologies. Build reusable infrastructure-as-code modules and improve CI/CD pipelines to create faster, consistent, and reliable deployments. Implement cloud security and governance controls, including secure landing zones, identity governance, secrets management, compliance enforcement, and Microsoft Defender for Cloud. Develop and support cloud infrastructure for containerized and AI-based workloads. Partner with application owners, architects, technical leads, and infrastructure teams to ensure solutions align with security requirements, engineering standards, and cloud best practices. Monitor cloud environments to identify operational risks, gaps, performance issues, and optimization opportunities. Participate in peer code reviews, technical design collaboration, and a rotating 24/7 on-call schedule for planned and unplanned maintenance. Job Requirements 10+ years of IT infrastructure experience, including 5+ years building, deploying, and managing IaaS and PaaS services in Azure and/or AWS. 4+ years of hands-on Terraform experience, including reusable modules, state management, infrastructure as code, and automated CI/CD pipelines. 2+ years of hands-on Kubernetes and containerized workload experience, plus strong networking knowledge across DNS, routing, firewalls, and private connectivity. Hands-on cloud security and governance experience, along with scripting/automation and Linux and Windows Server administration. Azure DevOps Engineer Expert, Azure Solutions Architect Expert, or equivalent cloud certification. Benefits 100% employer-paid medical, dental, and vision premiums for employees and qualifying dependents. 50% 401(k) match, up to the IRS maximum. 20 days of PTO plus 10 paid holidays. Family support benefits, including 8 weeks of paid primary caregiver leave, $10,000 in fertility, family-forming, and hormonal health assistance, plus backup child, adult, and elder care programs.

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details

DTS is looking for Business Analyst (Procurement / Vendor Management) for our client position based in Detroit, MI Description: Engagement Description - Support the Vendor Management (VM) team as Enterprise Procurement progresses from 2026 capability building into the 2027 Procurement Transformation roadmap. The contractor will help convert current-state VM processes, data, controls, reporting, automation, and AI-enabled use cases into documented requirements and implementation-ready artifacts for the future operating model. Act as a hands-on bridge across Vendor Management, Procurement business stakeholders, analytics, technology, and change activities. The resource should move between business analysis, process redesign, data/reporting, UAT, documentation, training, and practical AI/automation use cases rather than operate as a narrowly focused developer. Expected work includes current/future-state process mapping; requirements and user stories; gap/root-cause analysis; control and risk documentation; data/KPI analysis; Power BI/Excel reporting; system/workflow requirements; test scenarios/UAT coordination; SOPs/job aids; training/knowledge transfer; and evaluation of responsible AI or automation opportunities. Success is defined by high-quality, reusable artifacts that accelerate transformation while preserving controls, data quality, stakeholder alignment, and knowledge transfer to the internal VM team. Top 3 Required Skills/Experience - • 5+ years of business/systems analysis or process transformation experience, including requirements gathering, current/future-state process mapping, root-cause analysis, process redesign, technical documentation, UAT, and cross-functional implementation support for complex business processes. • 3+ years of procurement, vendor/supplier management, source-to-pay, contract lifecycle, or adjacent supply-chain experience. Strong preference for hands-on Oracle Cloud Procurement and/or CLM/vendor management platform experience and ability to translate VM needs into system and data requirements. • Demonstrated analytics and AI-enabled process improvement capability: advanced Excel plus Power BI or Tableau, KPI/reporting analysis, and practical use of enterprise generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or Gemini with appropriate human review and data/privacy controls. Required Skills/Experience - The rest of the required skills/experience. Include: • Facilitate stakeholder interviews/workshops and convert needs into functional requirements, process maps, acceptance criteria, decision logs, RACI inputs, and implementation documentation. • Support technology/transformation initiatives through design, integration/deployment readiness, testing, defect triage, UAT, change management, and post-implementation knowledge transfer. • Strong process optimization skills: root-cause analysis, control-point identification, exception/handoff analysis, and measurable improvement recommendations. • Working knowledge of supplier lifecycle activities including onboarding, risk/compliance, contract administration, supplier performance, data maintenance, monitoring, and issue resolution. • Oracle Cloud or comparable enterprise procurement/ERP experience; understand dependencies across procurement, contracts, master data, requisition-to-pay, and reporting. • Contract lifecycle management concepts/tools; document business rules, metadata, workflow requirements, alerts, approvals, and reporting needs. • Advanced Excel and working proficiency in Power BI or Tableau; profile data, analyze trends, validate data quality, develop/refine KPIs, and translate analysis into recommendations. • Practical generative AI and AI-enabled workflow experience, including validation, human-in-the-loop review, confidentiality, privacy, and responsible-use considerations. • Assess risk and controls in redesigned/automated processes, including data privacy, cybersecurity, auditability, segregation of duties, and approval controls. • Excellent written/verbal communication; produce executive summaries plus detailed SOPs, requirements, test scripts, job aids, and training materials. • Work independently in ambiguity, manage multiple priorities, surface risks early, and collaborate with business SMEs, technology teams, suppliers, and leaders. • Working understanding of cloud/SaaS concepts and integrations; deep cloud engineering expertise is not required. Preferred Skills/Experience - Optional but preferred skills/experience. Include: • Healthcare payer, health insurance, or another highly regulated industry. • AI/ML or generative-AI implementation in procurement, operations, contracting, supplier management, analytics, or knowledge management. • Microsoft Power Platform (Power Automate/Power Apps) and/or UiPath/RPA. • Modern procurement platforms such as Zip, Ironclad, Beeline, or comparable intake/orchestration, CLM, and contingent-labor solutions. • Supplier-performance, operational KPI, procurement, contract, or risk dashboards in Power BI. • Lean, Six Sigma, BPMN, SIPOC, Agile, Prosci/ADKAR, or equivalent process/change experience. • Procurement master data, supplier analytics, contract analytics, data governance, and data-quality controls. • Training development, working-session facilitation, and knowledge transfer to business users.

Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 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 lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for 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 needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. 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, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. 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. Please list your location at the top of your resume for consideration.

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