Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details
08/06/2026
Full time
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details
The Backend Engineer will focus on designing, developing, and maintaining strong server-side solutions to support the company's financial services operations. This role involves collaborating closely with cross-functional teams to ensure seamless integration and high performance of backend systems. Client Details A company in the financial services industry located in New York City. Description Develop and maintain scalable backend systems to support financial services applications. Collaborate with cross-functional teams to ensure seamless integration with front-end systems. Write clean, efficient, and well-documented code following best practices. Optimize server-side performance to ensure high availability and reliability. Implement data security measures and ensure compliance with industry standards. Debug and resolve technical issues to maintain system integrity and performance. Participate in code reviews and contribute to the continuous improvement of development processes. Stay updated with emerging technologies and industry trends to enhance system capabilities. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Profile Strong backend engineering experience with Java 21+, Spring Boot, microservices, REST APIs, and object-oriented design. Proven ability to build scalable, resilient enterprise applications, leveraging event-driven architectures and Kafka. Experience developing and integrating backend services using API integrations, caching strategies, data access layers, and well-defined service boundaries. Solid software engineering fundamentals, including JUnit, Maven, GitLab, CI/CD, automated testing, code quality, monitoring, and observability. Hands-on experience with Docker, Kubernetes, containerized environments, deployment automation, and production support within large-scale enterprise environments. Strong collaboration and communication skills, with the ability to partner effectively across product, architecture, UI, DevOps, and distributed engineering teams. Job Offer Competitive salary ranging from $150,000 to $175,000 per year. Comprehensive benefits package. 401(k) match program. Interested? Apply today. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
08/06/2026
Full time
The Backend Engineer will focus on designing, developing, and maintaining strong server-side solutions to support the company's financial services operations. This role involves collaborating closely with cross-functional teams to ensure seamless integration and high performance of backend systems. Client Details A company in the financial services industry located in New York City. Description Develop and maintain scalable backend systems to support financial services applications. Collaborate with cross-functional teams to ensure seamless integration with front-end systems. Write clean, efficient, and well-documented code following best practices. Optimize server-side performance to ensure high availability and reliability. Implement data security measures and ensure compliance with industry standards. Debug and resolve technical issues to maintain system integrity and performance. Participate in code reviews and contribute to the continuous improvement of development processes. Stay updated with emerging technologies and industry trends to enhance system capabilities. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Profile Strong backend engineering experience with Java 21+, Spring Boot, microservices, REST APIs, and object-oriented design. Proven ability to build scalable, resilient enterprise applications, leveraging event-driven architectures and Kafka. Experience developing and integrating backend services using API integrations, caching strategies, data access layers, and well-defined service boundaries. Solid software engineering fundamentals, including JUnit, Maven, GitLab, CI/CD, automated testing, code quality, monitoring, and observability. Hands-on experience with Docker, Kubernetes, containerized environments, deployment automation, and production support within large-scale enterprise environments. Strong collaboration and communication skills, with the ability to partner effectively across product, architecture, UI, DevOps, and distributed engineering teams. Job Offer Competitive salary ranging from $150,000 to $175,000 per year. Comprehensive benefits package. 401(k) match program. Interested? Apply today. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
Job Title: Senior Full Stack Developer (Online Banking, Mobile Web & APIs) Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05/hr (W2) Job ID: 407706 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 a Full Stack Developer (Online Banking, Mobile Web & APIs) to join our dynamic team. The ideal candidate will have strong experience in Java, Spring Boot, modern front-end frameworks, RESTful APIs, microservices, and DevOps automation and a proven ability to design, deliver, and support scalable, secure, and highly available digital banking experiences. Responsibilities: Design, develop, test, and deploy full stack applications for Online Banking and Mobile Web platforms. Build and maintain scalable RESTful APIs and microservices using Java-based technologies. Develop responsive and accessible web applications with modern front-end frameworks. Collaborate with product owners, architects, UX designers, and engineering teams to deliver high-quality experiences. Participate in design discussions, code reviews, and architecture decisions. Implement secure coding practices and ensure compliance with standards and regulations. Create automated unit, integration, and end-to-end tests to improve quality and reliability. Monitor performance and address scalability, resiliency, and availability concerns. Troubleshoot production issues and support releases across environments. Drive continuous improvement using AI-assisted development, DevOps practices, and automation. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent experience. 5+ years of full stack development experience building enterprise applications in Java. Java 11/17+, Spring Boot, RESTful APIs, microservices architecture. SQL/Oracle and NoSQL databases, Git-based source control. Front-end development with Angular or React, JavaScript/TypeScript, HTML5, CSS3, responsive web design. DevOps and automation: Git, Jenkins, CI/CD pipelines, SonarQube, test automation, OpenShift/Kubernetes. Cloud-native development, containerization, API security, distributed systems, event-driven architecture. Experience with automated testing frameworks and test-driven development. Understanding of secure application development principles and strong communication skills. Preferred Skills: Experience with large-scale consumer-facing digital platforms in banking or financial services. Knowledge of API gateways and API lifecycle management. Cloud platforms: OpenShift, Kubernetes, Azure, or AWS. CI/CD with Jenkins, GitHub Actions, or similar tools. Event-driven architecture and messaging platforms such as Kafka. Performance engineering and observability tools experience. Exposure to AI-assisted development tools such as GitHub Copilot or Microsoft Copilot. Experience working in Agile Scrum environments. Role Logistics & Interview Process: Approved location: Charlotte, NC. Hybrid schedule with a minimum of 3 days per week onsite. Start: September or ASAP. Interview: 1-2 rounds. Video required. Glider ID verification. Resume bucket: Multiple roles available. Max 3 submissions per vendor. Resume Submission Notes: Please list current location, relocation plan, availability or start date, and indicate if cooling off is required. 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.
08/06/2026
Full time
Job Title: Senior Full Stack Developer (Online Banking, Mobile Web & APIs) Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05/hr (W2) Job ID: 407706 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 a Full Stack Developer (Online Banking, Mobile Web & APIs) to join our dynamic team. The ideal candidate will have strong experience in Java, Spring Boot, modern front-end frameworks, RESTful APIs, microservices, and DevOps automation and a proven ability to design, deliver, and support scalable, secure, and highly available digital banking experiences. Responsibilities: Design, develop, test, and deploy full stack applications for Online Banking and Mobile Web platforms. Build and maintain scalable RESTful APIs and microservices using Java-based technologies. Develop responsive and accessible web applications with modern front-end frameworks. Collaborate with product owners, architects, UX designers, and engineering teams to deliver high-quality experiences. Participate in design discussions, code reviews, and architecture decisions. Implement secure coding practices and ensure compliance with standards and regulations. Create automated unit, integration, and end-to-end tests to improve quality and reliability. Monitor performance and address scalability, resiliency, and availability concerns. Troubleshoot production issues and support releases across environments. Drive continuous improvement using AI-assisted development, DevOps practices, and automation. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent experience. 5+ years of full stack development experience building enterprise applications in Java. Java 11/17+, Spring Boot, RESTful APIs, microservices architecture. SQL/Oracle and NoSQL databases, Git-based source control. Front-end development with Angular or React, JavaScript/TypeScript, HTML5, CSS3, responsive web design. DevOps and automation: Git, Jenkins, CI/CD pipelines, SonarQube, test automation, OpenShift/Kubernetes. Cloud-native development, containerization, API security, distributed systems, event-driven architecture. Experience with automated testing frameworks and test-driven development. Understanding of secure application development principles and strong communication skills. Preferred Skills: Experience with large-scale consumer-facing digital platforms in banking or financial services. Knowledge of API gateways and API lifecycle management. Cloud platforms: OpenShift, Kubernetes, Azure, or AWS. CI/CD with Jenkins, GitHub Actions, or similar tools. Event-driven architecture and messaging platforms such as Kafka. Performance engineering and observability tools experience. Exposure to AI-assisted development tools such as GitHub Copilot or Microsoft Copilot. Experience working in Agile Scrum environments. Role Logistics & Interview Process: Approved location: Charlotte, NC. Hybrid schedule with a minimum of 3 days per week onsite. Start: September or ASAP. Interview: 1-2 rounds. Video required. Glider ID verification. Resume bucket: Multiple roles available. Max 3 submissions per vendor. Resume Submission Notes: Please list current location, relocation plan, availability or start date, and indicate if cooling off is required. 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.
Pinnacle Technical Resources
Jersey City, New Jersey
SRE Engineer (W2) Jersey City, NJ (Onsite) 6 Months Contract to Hire Job Description: Proficient in application development skills for more than one technology as well as multiple design techniques. Working proficiency in development toolset to design, develop, test, deploy, maintain and improve software. Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks. Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security. Proficiency in one or more general purpose programming languages. Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software. Roles and Responsibilities: Working proficiency in developmental toolsets Knowledge and experience working in an Agile environment Familiar with development tools such as Jenkins, Git/BitBucket, Jira, etc. Knowledge of application, data and infrastructure architecture disciplines 5 plus years of experience with server based Operating Systems such as Windows 2016/2019 (Red Hat Linux/Unix a plus) 5 plus years with database systems such as Oracle and SQL Server Practical working experience with highavailability (clusters, failover) and networking (latency, load balancing, firewall) concepts Knowledge of data architecture, data modeling, database design and data warehousing. Expertise in at least one technology stack designing, coding, testing, and delivering software Experience with reporting, business Intelligence and visualization tools (i.e. Tableau, PowerBI, Cognos, etc.) Experience with functional, user acceptance and performance testing. Ability to quickly develop subject matter expertise and working knowledge of business processes; i.e., the ability to understand 'the business' and the impact of technology solutions Experience working with thirdparty applications and integrations Familiarity with observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection using tools like Grafana, Dynatrace, Prometheus, Datadog and Splunk. Recognize and eliminate toil through systems engineering or automation, and implement observability patterns to improve service level indicators, objectives monitoring, and alerting solutions. Note: Pay Range: $60 - $65 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
08/06/2026
Full time
SRE Engineer (W2) Jersey City, NJ (Onsite) 6 Months Contract to Hire Job Description: Proficient in application development skills for more than one technology as well as multiple design techniques. Working proficiency in development toolset to design, develop, test, deploy, maintain and improve software. Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks. Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security. Proficiency in one or more general purpose programming languages. Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software. Roles and Responsibilities: Working proficiency in developmental toolsets Knowledge and experience working in an Agile environment Familiar with development tools such as Jenkins, Git/BitBucket, Jira, etc. Knowledge of application, data and infrastructure architecture disciplines 5 plus years of experience with server based Operating Systems such as Windows 2016/2019 (Red Hat Linux/Unix a plus) 5 plus years with database systems such as Oracle and SQL Server Practical working experience with highavailability (clusters, failover) and networking (latency, load balancing, firewall) concepts Knowledge of data architecture, data modeling, database design and data warehousing. Expertise in at least one technology stack designing, coding, testing, and delivering software Experience with reporting, business Intelligence and visualization tools (i.e. Tableau, PowerBI, Cognos, etc.) Experience with functional, user acceptance and performance testing. Ability to quickly develop subject matter expertise and working knowledge of business processes; i.e., the ability to understand 'the business' and the impact of technology solutions Experience working with thirdparty applications and integrations Familiarity with observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection using tools like Grafana, Dynatrace, Prometheus, Datadog and Splunk. Recognize and eliminate toil through systems engineering or automation, and implement observability patterns to improve service level indicators, objectives monitoring, and alerting solutions. Note: Pay Range: $60 - $65 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Job Title: Senior Monitoring/Observability Architect or Production Support Architect Location: Pennington, NJ / Phoenix, AZ Duration: Contract - 11 months Pay Range: $70.23/hr (W2) Job ID: 407285 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 experienced Application Architect III to join the Operational Intelligence Team. The ideal candidate will have strong experience in enterprise monitoring tools, application instrumentation, and N-tier architecture, and a proven ability to design and drive end-to-end monitoring strategies that support critical banking applications. Responsibilities: Develop, document, and drive the enterprise monitoring strategy aligned to business information flows and systems architecture. Roll out strategic monitoring tools across Banking Application Production Support (APS) applications and ensure adoption. Serve as SME for monitoring platforms such as Dynatrace, Tivoli, Splunk, Sitescope, and Catchpoint. Design and implement monitoring for applications deployed on cloud and container infrastructures. Consult with APS teams to configure events, dashboards, and alerts to maximize tool value and operational outcomes. Host demos, overviews, and training sessions; develop supporting materials including presentations and operational manuals. Liaise with APS for planning and scheduling deployments of monitoring capabilities. Prepare reporting on monitoring adoption, coverage, and related performance and availability metrics. Participate in global forums to evolve and standardize the monitoring strategy. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 2+ years of development or architecture experience with multi-tier business applications. 5+ years in production systems architecture and/or application support roles. Hands-on expertise with monitoring tools such as Dynatrace, Tivoli, Splunk, Sitescope, and Catchpoint. Experience implementing monitoring on cloud and container platforms. Strong knowledge of Windows and Unix operating systems, scripting, and infrastructure services. Proficiency in Java and/or .NET for understanding application behavior and instrumentation needs. Proven background in application and network performance and availability monitoring. Experience with N-tier architectures across web, middleware, and database layers. Understanding of ITIL functions and processes. Effective communication skills with the ability to influence across multiple levels. Preferred Skills: Experience in major incident management within large enterprise environments. Background in development and/or support of banking applications. Ability to connect business context to technical solutions and roadmaps. 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.
08/06/2026
Full time
Job Title: Senior Monitoring/Observability Architect or Production Support Architect Location: Pennington, NJ / Phoenix, AZ Duration: Contract - 11 months Pay Range: $70.23/hr (W2) Job ID: 407285 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 experienced Application Architect III to join the Operational Intelligence Team. The ideal candidate will have strong experience in enterprise monitoring tools, application instrumentation, and N-tier architecture, and a proven ability to design and drive end-to-end monitoring strategies that support critical banking applications. Responsibilities: Develop, document, and drive the enterprise monitoring strategy aligned to business information flows and systems architecture. Roll out strategic monitoring tools across Banking Application Production Support (APS) applications and ensure adoption. Serve as SME for monitoring platforms such as Dynatrace, Tivoli, Splunk, Sitescope, and Catchpoint. Design and implement monitoring for applications deployed on cloud and container infrastructures. Consult with APS teams to configure events, dashboards, and alerts to maximize tool value and operational outcomes. Host demos, overviews, and training sessions; develop supporting materials including presentations and operational manuals. Liaise with APS for planning and scheduling deployments of monitoring capabilities. Prepare reporting on monitoring adoption, coverage, and related performance and availability metrics. Participate in global forums to evolve and standardize the monitoring strategy. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 2+ years of development or architecture experience with multi-tier business applications. 5+ years in production systems architecture and/or application support roles. Hands-on expertise with monitoring tools such as Dynatrace, Tivoli, Splunk, Sitescope, and Catchpoint. Experience implementing monitoring on cloud and container platforms. Strong knowledge of Windows and Unix operating systems, scripting, and infrastructure services. Proficiency in Java and/or .NET for understanding application behavior and instrumentation needs. Proven background in application and network performance and availability monitoring. Experience with N-tier architectures across web, middleware, and database layers. Understanding of ITIL functions and processes. Effective communication skills with the ability to influence across multiple levels. Preferred Skills: Experience in major incident management within large enterprise environments. Background in development and/or support of banking applications. Ability to connect business context to technical solutions and roadmaps. 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.
Job Title: DevOps Engineer Location: Buffalo NY Duration: - 12 months Pay Range: $100/hr to $110/hr (W2) Job ID: 407435 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 a DevOps Engineer to join our dynamic team. The ideal candidate will have strong experience in enterprise SDLC and Developer Experience platforms, DevSecOps, CI/CD, and platform automation and a proven ability to design, operate, and evolve secure, scalable developer platforms that improve engineering productivity. Responsibilities: Design, engineer, administer, and continuously improve enterprise Developer Experience and SDLC platform capabilities. Serve as technical expert and platform owner for GitLab SCM, GitLab CI/CD, GitLab Duo, runners, and governance controls. Own and optimize SonarQube, JFrog Artifactory, Mend SCA, IDE tooling, developer portals, and self-service capabilities. Develop enterprise software delivery workflows leveraging code quality, security scanning, and artifact management. Drive adoption of AI-assisted development capabilities aligned with governance, security, and compliance standards. Design and implement integrations across GitLab, SonarQube, Artifactory, Mend, cloud platforms, identity, ticketing, and observability. Engineer reusable CI/CD templates, pipeline standards, deployment frameworks, and self-service patterns. Define and implement standards for SCM, branching, merge requests, code reviews, testing automation, release management, and supply chain security. Review and approve designs, configurations, automation, and integrations impacting the delivery ecosystem. Ensure platform resiliency, scalability, observability, security, and operational excellence. Lead platform modernization initiatives that streamline developer workflows and enhance the developer experience. Define, measure, and report adoption, utilization, reliability, performance, and developer productivity metrics. Review testing methodologies, platform health indicators, and operational controls for stable and secure service delivery. Partner with Architecture, Cybersecurity, Infrastructure, Cloud Engineering, Risk, and Application Development on cross-functional improvements. Research and recommend emerging technologies in platform engineering, DevEx, DevSecOps, AI-assisted development, and supply chain security. Contribute to enterprise architecture and engineering strategy for developer enablement and SDLC modernization. Communicate platform architecture, roadmaps, challenges, and recommendations to stakeholders and forums. Author standards, implementation guides, runbooks, documentation, and knowledge-sharing content. Coach engineering teams on SDLC best practices, CI/CD, DevSecOps controls, and productivity improvements. Adhere to risk and regulatory standards and escalate risk-related issues as needed. Required Skills & Qualifications: Proficiency with enterprise developer platforms such as GitLab, SonarQube, JFrog Artifactory, Mend, and CI/CD tooling. Experience building and supporting large-scale enterprise software delivery environments. Expertise in automation, platform integrations, and APIs for engineering enablement. Background in secure software development and DevSecOps practices. Associate's degree with 7+ years relevant experience, or Bachelor's degree with 5+ years, or 9+ years combined education and experience with 5+ years in platform engineering or related domains. Preferred Skills: Deep knowledge of GitLab Enterprise including SCM, CI/CD, Duo, runners, governance, and administration. Experience operating Developer Experience or Internal Developer Platform solutions. Expertise in software supply chain security, dependency management, SBOMs, and vulnerability remediation. Experience implementing enterprise CI/CD standards and release automation. Familiarity with cloud-native platforms and platform engineering practices. Knowledge of DORA metrics and engineering effectiveness frameworks. Ability to work autonomously and lead complex technical initiatives with strong analytical and organizational skills. Advanced verbal and written communication skills and experience influencing cross-functional leadership teams. Experience supporting large engineering organizations with thousands of developers. 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.
08/06/2026
Full time
Job Title: DevOps Engineer Location: Buffalo NY Duration: - 12 months Pay Range: $100/hr to $110/hr (W2) Job ID: 407435 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 a DevOps Engineer to join our dynamic team. The ideal candidate will have strong experience in enterprise SDLC and Developer Experience platforms, DevSecOps, CI/CD, and platform automation and a proven ability to design, operate, and evolve secure, scalable developer platforms that improve engineering productivity. Responsibilities: Design, engineer, administer, and continuously improve enterprise Developer Experience and SDLC platform capabilities. Serve as technical expert and platform owner for GitLab SCM, GitLab CI/CD, GitLab Duo, runners, and governance controls. Own and optimize SonarQube, JFrog Artifactory, Mend SCA, IDE tooling, developer portals, and self-service capabilities. Develop enterprise software delivery workflows leveraging code quality, security scanning, and artifact management. Drive adoption of AI-assisted development capabilities aligned with governance, security, and compliance standards. Design and implement integrations across GitLab, SonarQube, Artifactory, Mend, cloud platforms, identity, ticketing, and observability. Engineer reusable CI/CD templates, pipeline standards, deployment frameworks, and self-service patterns. Define and implement standards for SCM, branching, merge requests, code reviews, testing automation, release management, and supply chain security. Review and approve designs, configurations, automation, and integrations impacting the delivery ecosystem. Ensure platform resiliency, scalability, observability, security, and operational excellence. Lead platform modernization initiatives that streamline developer workflows and enhance the developer experience. Define, measure, and report adoption, utilization, reliability, performance, and developer productivity metrics. Review testing methodologies, platform health indicators, and operational controls for stable and secure service delivery. Partner with Architecture, Cybersecurity, Infrastructure, Cloud Engineering, Risk, and Application Development on cross-functional improvements. Research and recommend emerging technologies in platform engineering, DevEx, DevSecOps, AI-assisted development, and supply chain security. Contribute to enterprise architecture and engineering strategy for developer enablement and SDLC modernization. Communicate platform architecture, roadmaps, challenges, and recommendations to stakeholders and forums. Author standards, implementation guides, runbooks, documentation, and knowledge-sharing content. Coach engineering teams on SDLC best practices, CI/CD, DevSecOps controls, and productivity improvements. Adhere to risk and regulatory standards and escalate risk-related issues as needed. Required Skills & Qualifications: Proficiency with enterprise developer platforms such as GitLab, SonarQube, JFrog Artifactory, Mend, and CI/CD tooling. Experience building and supporting large-scale enterprise software delivery environments. Expertise in automation, platform integrations, and APIs for engineering enablement. Background in secure software development and DevSecOps practices. Associate's degree with 7+ years relevant experience, or Bachelor's degree with 5+ years, or 9+ years combined education and experience with 5+ years in platform engineering or related domains. Preferred Skills: Deep knowledge of GitLab Enterprise including SCM, CI/CD, Duo, runners, governance, and administration. Experience operating Developer Experience or Internal Developer Platform solutions. Expertise in software supply chain security, dependency management, SBOMs, and vulnerability remediation. Experience implementing enterprise CI/CD standards and release automation. Familiarity with cloud-native platforms and platform engineering practices. Knowledge of DORA metrics and engineering effectiveness frameworks. Ability to work autonomously and lead complex technical initiatives with strong analytical and organizational skills. Advanced verbal and written communication skills and experience influencing cross-functional leadership teams. Experience supporting large engineering organizations with thousands of developers. 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.
Job Title: Site Reliability Engineer (SRE) / Cloud Automation Engineer Location: Chandler, AZ (Hybrid, 3 days onsite per week required). Local candidates only. Duration: Contract - 12 months Pay Range: $70.23/hr (W2) Job ID: 407394 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 a Site Reliability Engineer III to join our team. The ideal candidate will have strong experience in cloud computing, infrastructure automation, and observability tooling and a proven ability to implement reliable, automated, and measurable service operations across complex environments. Responsibilities: Establish and maintain partnerships with Application Development and Production Support teams to drive SRE practices. Ensure instrumentation, tooling, ticketing, alerting, and on-call routines are in place for key services. Lead automation efforts using Infrastructure as Code, Terraform, and Ansible to improve reliability and speed of delivery. Design and implement solutions across AWS, Azure, and OpenShift with a focus on compute, storage, network, and security services. Develop and maintain code and automation using Python, Golang, and shell scripting. Implement monitoring and observability with Prometheus, Dynatrace, Azure Monitor, and Log Analytics. Contribute to CI/CD pipelines using Git, Jenkins, and GitOps practices. Decompose complex objectives into units of work for team execution and mentor peers on best practices. Required Skills & Qualifications: Hands-on experience with Terraform Enterprise, HashiCorp Consul, and Red Hat OpenShift. Proficiency in AWS and Azure cloud services across compute, storage, network, and security. Programming and scripting with Python, Golang, shell, and familiarity with Java. Experience with Ansible Automation and CI/CD tools including Git, Jenkins, and GitOps models. Monitoring expertise with Prometheus and Dynatrace, and cloud-native tools such as Azure Monitor and Log Analytics. Strong systems background across RHEL and Windows Servers, containers, and virtual resources in Azure and AWS. Experience with workload management tools such as Jira and Remedy. BS/MS in Computer Science or related field, or equivalent practical experience. 5+ years relevant experience. Preferred Skills: Linux System Administration and Windows Administration. Splunk Administration, Dynatrace Administration, and Grafana. OpenShift containers and Ansible Automation. Horizon CI/CD ecosystem (Jenkins, XLR, Artifactory, Bitbucket). Experience with Azure, AWS, or GCP. HashiCorp Terraform and Red Hat Ansible certifications. Strong problem-solving approach, ownership, and ability to manage competing priorities. Additional Details: Primary Skill: Cloud Computing. Secondary: Robotic Process Automation. Tertiary: Automation Testing. Maximum submissions per supplier: 4. 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.
08/06/2026
Full time
Job Title: Site Reliability Engineer (SRE) / Cloud Automation Engineer Location: Chandler, AZ (Hybrid, 3 days onsite per week required). Local candidates only. Duration: Contract - 12 months Pay Range: $70.23/hr (W2) Job ID: 407394 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 a Site Reliability Engineer III to join our team. The ideal candidate will have strong experience in cloud computing, infrastructure automation, and observability tooling and a proven ability to implement reliable, automated, and measurable service operations across complex environments. Responsibilities: Establish and maintain partnerships with Application Development and Production Support teams to drive SRE practices. Ensure instrumentation, tooling, ticketing, alerting, and on-call routines are in place for key services. Lead automation efforts using Infrastructure as Code, Terraform, and Ansible to improve reliability and speed of delivery. Design and implement solutions across AWS, Azure, and OpenShift with a focus on compute, storage, network, and security services. Develop and maintain code and automation using Python, Golang, and shell scripting. Implement monitoring and observability with Prometheus, Dynatrace, Azure Monitor, and Log Analytics. Contribute to CI/CD pipelines using Git, Jenkins, and GitOps practices. Decompose complex objectives into units of work for team execution and mentor peers on best practices. Required Skills & Qualifications: Hands-on experience with Terraform Enterprise, HashiCorp Consul, and Red Hat OpenShift. Proficiency in AWS and Azure cloud services across compute, storage, network, and security. Programming and scripting with Python, Golang, shell, and familiarity with Java. Experience with Ansible Automation and CI/CD tools including Git, Jenkins, and GitOps models. Monitoring expertise with Prometheus and Dynatrace, and cloud-native tools such as Azure Monitor and Log Analytics. Strong systems background across RHEL and Windows Servers, containers, and virtual resources in Azure and AWS. Experience with workload management tools such as Jira and Remedy. BS/MS in Computer Science or related field, or equivalent practical experience. 5+ years relevant experience. Preferred Skills: Linux System Administration and Windows Administration. Splunk Administration, Dynatrace Administration, and Grafana. OpenShift containers and Ansible Automation. Horizon CI/CD ecosystem (Jenkins, XLR, Artifactory, Bitbucket). Experience with Azure, AWS, or GCP. HashiCorp Terraform and Red Hat Ansible certifications. Strong problem-solving approach, ownership, and ability to manage competing priorities. Additional Details: Primary Skill: Cloud Computing. Secondary: Robotic Process Automation. Tertiary: Automation Testing. Maximum submissions per supplier: 4. 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.
Stefanini Group is hiring! Stefanini is looking for a DevOps Engineer, Dearborn, MI For quick apply, please reach out to Saurabh Kapoor at / We are seeking a DevOps Engineer who will be responsible for building, testing, and maintaining the infrastructure and tools for software/code development, deployment, and release. They also help the organization speed up and automate aspects of the software lifecycle through a series of DevOps practices and processes. Key Responsibilities Imbibe DevOps methodology and practices across the product lifecycle for various software components. Accelerate software releases while ensuring security and mitigating the risk of failed or recalled software releases. Increase cycle speed between feedback from end users and updated software by leveraging continuous integration, continuous deployment, and continuous feedback. Assess current systems and processes and identify and implement ways to improve them. Utilize platform and enterprise tools and infrastructure to facilitate DevOps methodology and approach. Assist with code/software releases and deployments in various environments, including production, testing, and sandbox environments. Identify and spearhead the creation of automation and innovation opportunities throughout the software product lifecycle. Set up, maintain, and optimize pipelines using Jenkins and GitHub Actions. Deploy updates and fixes as required to ensure continuous integration. Develop solutions to integrate with internal back-end systems as needed. Perform root cause analysis of development and production build and pipeline issues. Develop automation to enhance current processes. Develop new procedures for system troubleshooting and maintenance. Skills Required Linux, GCP, Microsoft Windows, GitHub, Jenkins, Cloud Infrastructure, Python Skills Preferred Azure Experience Required 5+ years of experience as a DevOps Engineer or in a similar software engineering role. Experience with embedded systems build and development processes preferred. Team leadership experience highly preferred. A strong foundation in system engineering and administration, including: Linux, Window Experience with one or more of the following scripting languages: Bash, PowerShell, Python Experience with one or more of the following version control/repository management tools: Git, GitHub, GitLab. Experience with one of the following CI/CD tools: Jenkins, GitLab CI/CD, GitHub Actions, CircleCI Experience with one or more of the following observability tools: Prometheus, Grafana, Datadog, CloudWatch, Lens. Experience with one or more of the following log management tools: Elastic Stack, Grafana Loki, Fluentd Experience with one or more of the following configuration management tools: Ansible, Chef, Puppet Experience with one or more of the following cloud platforms: GCP, AWS, Azure. Education Required Not applicable Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
08/06/2026
Full time
Stefanini Group is hiring! Stefanini is looking for a DevOps Engineer, Dearborn, MI For quick apply, please reach out to Saurabh Kapoor at / We are seeking a DevOps Engineer who will be responsible for building, testing, and maintaining the infrastructure and tools for software/code development, deployment, and release. They also help the organization speed up and automate aspects of the software lifecycle through a series of DevOps practices and processes. Key Responsibilities Imbibe DevOps methodology and practices across the product lifecycle for various software components. Accelerate software releases while ensuring security and mitigating the risk of failed or recalled software releases. Increase cycle speed between feedback from end users and updated software by leveraging continuous integration, continuous deployment, and continuous feedback. Assess current systems and processes and identify and implement ways to improve them. Utilize platform and enterprise tools and infrastructure to facilitate DevOps methodology and approach. Assist with code/software releases and deployments in various environments, including production, testing, and sandbox environments. Identify and spearhead the creation of automation and innovation opportunities throughout the software product lifecycle. Set up, maintain, and optimize pipelines using Jenkins and GitHub Actions. Deploy updates and fixes as required to ensure continuous integration. Develop solutions to integrate with internal back-end systems as needed. Perform root cause analysis of development and production build and pipeline issues. Develop automation to enhance current processes. Develop new procedures for system troubleshooting and maintenance. Skills Required Linux, GCP, Microsoft Windows, GitHub, Jenkins, Cloud Infrastructure, Python Skills Preferred Azure Experience Required 5+ years of experience as a DevOps Engineer or in a similar software engineering role. Experience with embedded systems build and development processes preferred. Team leadership experience highly preferred. A strong foundation in system engineering and administration, including: Linux, Window Experience with one or more of the following scripting languages: Bash, PowerShell, Python Experience with one or more of the following version control/repository management tools: Git, GitHub, GitLab. Experience with one of the following CI/CD tools: Jenkins, GitLab CI/CD, GitHub Actions, CircleCI Experience with one or more of the following observability tools: Prometheus, Grafana, Datadog, CloudWatch, Lens. Experience with one or more of the following log management tools: Elastic Stack, Grafana Loki, Fluentd Experience with one or more of the following configuration management tools: Ansible, Chef, Puppet Experience with one or more of the following cloud platforms: GCP, AWS, Azure. Education Required Not applicable Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
Job Titel: GenAI Engineer Location: Phoenix, AZ (Client Site - No Remote, No Virtual) Work Model: Hybrid (4 days onsite Mon-Thu, Friday remote) Interviews: 2-3 rounds (including client interview) Role Summary Seeking a GenAI Engineer to support large-scale Site Reliability Engineering (SRE), Platform Health, and Engineering Productivity initiatives. The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native tooling to improve operational efficiency, incident reduction, observability, code quality, and developer productivity across enterprise platforms. The role requires close collaboration with SRE teams, platform engineering teams, application development teams, and business stakeholders to identify automation opportunities and implement AI-driven solutions. Key Responsibilities GenAI & Automation Technical Skills Python development and automation scripting Generative AI concepts and LLM integrations GitHub Copilot, Devin AI, OpenAI/Azure OpenAI ecosystem REST APIs and automation frameworks Git, CI/CD pipelines, GitHub Actions Linux/Unix administration Cloud Platforms (AWS, Azure, GCP) Terraform and Infrastructure as Code Monitoring tools such as Splunk, Dynatrace, Prometheus, Grafana, Datadog, New Relic SRE Knowledge Incident Management Problem Management Service Reliability Availability Management Operational Excellence Observability Principles Production Support
08/06/2026
Full time
Job Titel: GenAI Engineer Location: Phoenix, AZ (Client Site - No Remote, No Virtual) Work Model: Hybrid (4 days onsite Mon-Thu, Friday remote) Interviews: 2-3 rounds (including client interview) Role Summary Seeking a GenAI Engineer to support large-scale Site Reliability Engineering (SRE), Platform Health, and Engineering Productivity initiatives. The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native tooling to improve operational efficiency, incident reduction, observability, code quality, and developer productivity across enterprise platforms. The role requires close collaboration with SRE teams, platform engineering teams, application development teams, and business stakeholders to identify automation opportunities and implement AI-driven solutions. Key Responsibilities GenAI & Automation Technical Skills Python development and automation scripting Generative AI concepts and LLM integrations GitHub Copilot, Devin AI, OpenAI/Azure OpenAI ecosystem REST APIs and automation frameworks Git, CI/CD pipelines, GitHub Actions Linux/Unix administration Cloud Platforms (AWS, Azure, GCP) Terraform and Infrastructure as Code Monitoring tools such as Splunk, Dynatrace, Prometheus, Grafana, Datadog, New Relic SRE Knowledge Incident Management Problem Management Service Reliability Availability Management Operational Excellence Observability Principles Production Support
Capgemini Government Solutions LLC
Fort George G Meade, Maryland
Capgemini Government Solutions (CGS) LLC is seeking an Observability Engineer to design, implement, and support enterprise monitoring and observability solutions for mission-critical systems. This role will focus on improving system visibility, reliability, and performance through logging, telemetry, alerting, and dashboard development. The ideal candidate has experience supporting large-scale production environments and working closely with DevOps, SRE, engineering, and cybersecurity teams to ensure systems are observable, resilient, and operationally efficient. Key Responsibilities Design, implement, and maintain observability and monitoring solutions. Manage log collection, ingestion, correlation, and analysis across multiple data sources. Develop dashboards, alerts, and reporting to monitor system health, performance, and availability. Analyze infrastructure, application, and network telemetry to identify issues and trends. Perform root cause analysis (RCA) and support incident response activities. Collaborate with engineering, DevOps, SRE, and cybersecurity teams to improve monitoring coverage and operational visibility. Support SLA and performance objectives through proactive monitoring and alerting. Ensure monitoring data is properly collected, tagged, and correlated. Mentor junior team members and provide technical guidance. Required Qualifications Active TS/SCI clearance. 8+ years of experience in observability, monitoring, systems engineering, SRE, platform engineering, cybersecurity engineering, or related disciplines. Experience with enterprise monitoring and observability platforms Experience with log management, telemetry collection, dashboard development, and alerting. Strong understanding of infrastructure monitoring, including compute, storage, network, and application performance. Experience performing root cause analysis and supporting production incident resolution. Ability to work in Agile development environments. Ability to obtain SAFe Scrum Master certification if not already certified. Preferred Qualifications Experience with OpenObserve, Fluentd, or other log ingestion technologies. Experience with platforms such as Splunk, Elastic, Grafana, OpenObserve, Datadog, Dynatrace, or similar tools. Experience with cloud-based monitoring and automation. Experience supporting cybersecurity monitoring or security telemetry initiatives. Experience with API integrations and monitoring automation. Familiarity with AI-assisted monitoring or AIOps platforms. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120k - $150k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
08/06/2026
Full time
Capgemini Government Solutions (CGS) LLC is seeking an Observability Engineer to design, implement, and support enterprise monitoring and observability solutions for mission-critical systems. This role will focus on improving system visibility, reliability, and performance through logging, telemetry, alerting, and dashboard development. The ideal candidate has experience supporting large-scale production environments and working closely with DevOps, SRE, engineering, and cybersecurity teams to ensure systems are observable, resilient, and operationally efficient. Key Responsibilities Design, implement, and maintain observability and monitoring solutions. Manage log collection, ingestion, correlation, and analysis across multiple data sources. Develop dashboards, alerts, and reporting to monitor system health, performance, and availability. Analyze infrastructure, application, and network telemetry to identify issues and trends. Perform root cause analysis (RCA) and support incident response activities. Collaborate with engineering, DevOps, SRE, and cybersecurity teams to improve monitoring coverage and operational visibility. Support SLA and performance objectives through proactive monitoring and alerting. Ensure monitoring data is properly collected, tagged, and correlated. Mentor junior team members and provide technical guidance. Required Qualifications Active TS/SCI clearance. 8+ years of experience in observability, monitoring, systems engineering, SRE, platform engineering, cybersecurity engineering, or related disciplines. Experience with enterprise monitoring and observability platforms Experience with log management, telemetry collection, dashboard development, and alerting. Strong understanding of infrastructure monitoring, including compute, storage, network, and application performance. Experience performing root cause analysis and supporting production incident resolution. Ability to work in Agile development environments. Ability to obtain SAFe Scrum Master certification if not already certified. Preferred Qualifications Experience with OpenObserve, Fluentd, or other log ingestion technologies. Experience with platforms such as Splunk, Elastic, Grafana, OpenObserve, Datadog, Dynatrace, or similar tools. Experience with cloud-based monitoring and automation. Experience supporting cybersecurity monitoring or security telemetry initiatives. Experience with API integrations and monitoring automation. Familiarity with AI-assisted monitoring or AIOps platforms. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120k - $150k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Position: Sr. Engineer Location: Fort Worth, Texas Duration: Contract Job Overview: As a Sr. Engineer, you will play a critical role in building and maintaining core platform components that power agentic AI systems. This position involves developing APIs, microservices, and orchestration services, as well as integrating AI/ML models into production systems. The ideal candidate will have a strong background in software engineering, cloud platforms, and AI/ML application development. This is a hybrid role requiring onsite work three days a week and virtual work for two days. Responsibilities: Develop and maintain agent orchestration services, tool registries, and execution runtimes. Build APIs and microservices for LLM integration, prompt management, and agent lifecycle management. Implement observability, logging, and monitoring for agentic workflows. Write comprehensive tests (unit, integration, end-to-end) to ensure platform reliability. Collaborate with architects on design decisions and ML engineers on model integration. Participate in on-call rotations for production support of the AI platform. Contribute to CI/CD pipelines, infrastructure-as-code, and deployment automation. Qualifications: 5+ years of software engineering experience with strong proficiency in Python and working knowledge of at least one of Java, Go, or TypeScript. Hands-on experience building production REST/gRPC APIs and microservices. Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation, or Pulumi). Working experience with LLM integration patterns, prompt engineering, or AI/ML application development. Familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools. Nice to Have Skills: Experience with event-driven architectures (Kafka, EventBridge). Knowledge of vector databases and observability tools (Datadog, Splunk, OpenTelemetry). Familiarity with agent evaluation frameworks, FastAPI/Flask, async Python, and Redis/caching patterns. Experience in the airline or travel industry. What Makes a Great Candidate? A great candidate is a solid mid-level to senior engineer who writes clean, testable code and has a genuine curiosity about AI/ML systems. While deep ML expertise is not required, the candidate should understand how LLMs work, recognize agentic patterns, and build reliable services around non-deterministic components. They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
08/06/2026
Full time
Position: Sr. Engineer Location: Fort Worth, Texas Duration: Contract Job Overview: As a Sr. Engineer, you will play a critical role in building and maintaining core platform components that power agentic AI systems. This position involves developing APIs, microservices, and orchestration services, as well as integrating AI/ML models into production systems. The ideal candidate will have a strong background in software engineering, cloud platforms, and AI/ML application development. This is a hybrid role requiring onsite work three days a week and virtual work for two days. Responsibilities: Develop and maintain agent orchestration services, tool registries, and execution runtimes. Build APIs and microservices for LLM integration, prompt management, and agent lifecycle management. Implement observability, logging, and monitoring for agentic workflows. Write comprehensive tests (unit, integration, end-to-end) to ensure platform reliability. Collaborate with architects on design decisions and ML engineers on model integration. Participate in on-call rotations for production support of the AI platform. Contribute to CI/CD pipelines, infrastructure-as-code, and deployment automation. Qualifications: 5+ years of software engineering experience with strong proficiency in Python and working knowledge of at least one of Java, Go, or TypeScript. Hands-on experience building production REST/gRPC APIs and microservices. Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation, or Pulumi). Working experience with LLM integration patterns, prompt engineering, or AI/ML application development. Familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools. Nice to Have Skills: Experience with event-driven architectures (Kafka, EventBridge). Knowledge of vector databases and observability tools (Datadog, Splunk, OpenTelemetry). Familiarity with agent evaluation frameworks, FastAPI/Flask, async Python, and Redis/caching patterns. Experience in the airline or travel industry. What Makes a Great Candidate? A great candidate is a solid mid-level to senior engineer who writes clean, testable code and has a genuine curiosity about AI/ML systems. While deep ML expertise is not required, the candidate should understand how LLMs work, recognize agentic patterns, and build reliable services around non-deterministic components. They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
Job Title: Site Reliability Engineer Location: Buffalo NY Duration: Temp - 12 months Pay Range: $100/hr $110/hr (W2) Job ID: 407436 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 a Lead Site Reliability Engineer to ensure the reliability, scalability, performance, and operational excellence of critical banking platforms and applications. The ideal candidate will have strong experience in observability, automation, incident management, Azure, and Infrastructure as Code and a proven ability to design, implement, and mature SRE practices across the SDLC while leading complex reliability initiatives. Responsibilities: Design, implement, and support highly available, scalable, and resilient applications and cloud infrastructure aligned to enterprise standards and SRE best practices. Lead initiatives to improve reliability, availability, performance, and operational maturity through automation and engineering excellence. Define, implement, and monitor SLOs, SLIs, and error budgets for critical services. Develop observability strategies using Dynatrace, OpenTelemetry, distributed tracing, metrics, logs, dashboards, and alerting. Design and maintain end-to-end monitoring that provides actionable insights into application, infrastructure, and customer experience health. Analyze production telemetry to identify performance bottlenecks, reliability risks, and capacity constraints proactively. Lead incident response for high-severity events and coordinate cross-functional restoration and communications. Perform and facilitate RCAs with corrective and preventive actions tracked to completion. Automate repetitive tasks, operational workflows, deployments, recovery procedures, and reliability controls. Partner with development teams to embed reliability and observability across the SDLC. Design, develop, and execute automated regression testing to validate stability and performance after changes. Review test coverage and reliability validation to ensure comprehensive risk mitigation. Create, maintain, and improve Terraform-based IaC for provisioning, configuration, and standardization. Support and optimize Microsoft Azure environments, including App Services, resource management, scaling, and deployment automation. Use Azure Monitor, Application Insights, and Log Analytics to improve visibility and reliability. Drive performance testing, resiliency testing, fault tolerance validation, and disaster recovery preparedness. Establish operational readiness standards and enforce requirements before production deployments. Review architectures and recommend improvements for resiliency, efficiency, and cloud optimization. Lead capacity planning, performance tuning, and workload optimization across production environments. Develop and maintain runbooks, incident playbooks, knowledge articles, and SOPs. Partner with engineering, infrastructure, cybersecurity, architecture, and support teams on cross-functional improvements. Communicate system health, reliability trends, risks, and remediation to technical and business stakeholders. Present initiatives, metrics, and recommendations at reviews, forums, and leadership meetings. Mentor engineers on observability, cloud engineering, automation, SRE principles, and operational practices. Adhere to risk and regulatory standards and identify issues requiring escalation. Promote a culture of belonging consistent with company values and maintain internal control standards. Required Skills & Qualifications: Associate's degree with 7+ years in SRE, Cloud, Systems, Infrastructure Engineering, DevOps, or Application Support. Bachelor's degree with 5+ years. Or 9+ years combined education and experience with 5+ years in a technology engineering role. Hands-on observability and monitoring experience with Dynatrace, OpenTelemetry, distributed tracing, metrics, centralized logging, alerting, and dashboards. Proven ability to design and execute automated regression testing frameworks and suites. Strong proficiency with Terraform and Infrastructure as Code practices. Experience with CI/CD, deployment automation, and operational tooling. Expertise in production monitoring, incident management, and troubleshooting of distributed systems. Understanding of application performance management and modern cloud-native architectures. Preferred Skills: Microsoft Azure expertise, including App Services, Resource Groups, networking, scaling and optimization, deployment and release management, and application lifecycle management. Use of Azure Monitor, Application Insights, Log Analytics, dashboards, and alerting. SRE practices such as SLOs, SLIs, error budgets, incident/problem management, RCA, and reliability automation. Experience with performance tuning, capacity planning, proactive issue detection, and observability-driven improvements. Automated recovery mechanisms and self-healing solutions, resiliency patterns, DR planning, and high-availability architectures. 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 modern 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.
08/06/2026
Full time
Job Title: Site Reliability Engineer Location: Buffalo NY Duration: Temp - 12 months Pay Range: $100/hr $110/hr (W2) Job ID: 407436 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 a Lead Site Reliability Engineer to ensure the reliability, scalability, performance, and operational excellence of critical banking platforms and applications. The ideal candidate will have strong experience in observability, automation, incident management, Azure, and Infrastructure as Code and a proven ability to design, implement, and mature SRE practices across the SDLC while leading complex reliability initiatives. Responsibilities: Design, implement, and support highly available, scalable, and resilient applications and cloud infrastructure aligned to enterprise standards and SRE best practices. Lead initiatives to improve reliability, availability, performance, and operational maturity through automation and engineering excellence. Define, implement, and monitor SLOs, SLIs, and error budgets for critical services. Develop observability strategies using Dynatrace, OpenTelemetry, distributed tracing, metrics, logs, dashboards, and alerting. Design and maintain end-to-end monitoring that provides actionable insights into application, infrastructure, and customer experience health. Analyze production telemetry to identify performance bottlenecks, reliability risks, and capacity constraints proactively. Lead incident response for high-severity events and coordinate cross-functional restoration and communications. Perform and facilitate RCAs with corrective and preventive actions tracked to completion. Automate repetitive tasks, operational workflows, deployments, recovery procedures, and reliability controls. Partner with development teams to embed reliability and observability across the SDLC. Design, develop, and execute automated regression testing to validate stability and performance after changes. Review test coverage and reliability validation to ensure comprehensive risk mitigation. Create, maintain, and improve Terraform-based IaC for provisioning, configuration, and standardization. Support and optimize Microsoft Azure environments, including App Services, resource management, scaling, and deployment automation. Use Azure Monitor, Application Insights, and Log Analytics to improve visibility and reliability. Drive performance testing, resiliency testing, fault tolerance validation, and disaster recovery preparedness. Establish operational readiness standards and enforce requirements before production deployments. Review architectures and recommend improvements for resiliency, efficiency, and cloud optimization. Lead capacity planning, performance tuning, and workload optimization across production environments. Develop and maintain runbooks, incident playbooks, knowledge articles, and SOPs. Partner with engineering, infrastructure, cybersecurity, architecture, and support teams on cross-functional improvements. Communicate system health, reliability trends, risks, and remediation to technical and business stakeholders. Present initiatives, metrics, and recommendations at reviews, forums, and leadership meetings. Mentor engineers on observability, cloud engineering, automation, SRE principles, and operational practices. Adhere to risk and regulatory standards and identify issues requiring escalation. Promote a culture of belonging consistent with company values and maintain internal control standards. Required Skills & Qualifications: Associate's degree with 7+ years in SRE, Cloud, Systems, Infrastructure Engineering, DevOps, or Application Support. Bachelor's degree with 5+ years. Or 9+ years combined education and experience with 5+ years in a technology engineering role. Hands-on observability and monitoring experience with Dynatrace, OpenTelemetry, distributed tracing, metrics, centralized logging, alerting, and dashboards. Proven ability to design and execute automated regression testing frameworks and suites. Strong proficiency with Terraform and Infrastructure as Code practices. Experience with CI/CD, deployment automation, and operational tooling. Expertise in production monitoring, incident management, and troubleshooting of distributed systems. Understanding of application performance management and modern cloud-native architectures. Preferred Skills: Microsoft Azure expertise, including App Services, Resource Groups, networking, scaling and optimization, deployment and release management, and application lifecycle management. Use of Azure Monitor, Application Insights, Log Analytics, dashboards, and alerting. SRE practices such as SLOs, SLIs, error budgets, incident/problem management, RCA, and reliability automation. Experience with performance tuning, capacity planning, proactive issue detection, and observability-driven improvements. Automated recovery mechanisms and self-healing solutions, resiliency patterns, DR planning, and high-availability architectures. 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 modern 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.
Job Title: AI Native Software Engineer Location: Dallas, TX (75% travel) Duration: Temp - 3+ months with possibility of conversion Pay Range: $80.00/hr - $88.88/hr (W2) Job ID: 406591 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 AI Native Software Engineer to join our team. The ideal candidate will have strong experience in AI agent engineering, AI platform integration, and cloud-native development and a proven ability to design, build, and deploy production-grade AI-driven systems within enterprise environments. Responsibilities: Design and implement AI agents including retrieval (RAG), orchestration workflows, tool/function invocation, and policy-based routing. Build evaluation frameworks for accuracy, latency, and reliability, with observability and monitoring for the agent lifecycle. Integrate with AI providers such as OpenAI, Anthropic, Google Vertex, and open-source models, and build abstraction layers for multi-model and multi-provider architectures. Optimize model usage for performance, cost, and latency. Develop scalable services using microservices, containers (Docker, Kubernetes), and serverless or event-driven patterns. Implement CI/CD pipelines and infrastructure as code such as Terraform and Helm with production readiness, logging, monitoring, and fault tolerance. Build and deploy AI-powered applications aligned to business workflows and integrate into existing enterprise platforms and APIs. Develop backend services and APIs supporting agent workflows. Define and execute test strategies for AI systems, measure performance, and debug and optimize production systems. Required Skills & Qualifications: 8-10+ years of software engineering experience. Strong experience with cloud-native systems including APIs, microservices, containers, and serverless. Proven experience building and deploying AI or LLM systems in production such as agents, RAG, and orchestration. Proficiency in Python, Java, or similar backend languages. Experience with CI/CD pipelines, infrastructure as code, and monitoring and observability tools. Hands-on experience with AI platforms such as OpenAI, Claude, or Vertex AI. Preferred Skills: Experience with agent frameworks such as LangGraph, AutoGen, or CrewAI. Experience designing multi-agent or distributed AI systems. Familiarity with enterprise-scale system integration. Experience optimizing AI workloads for cost and performance. Scope & Expectations (Contractor-Specific): 100% hands-on engineering role with no people management. Deliver production-quality code and deployments within existing architecture and standards. Collaborate with client and internal engineering teams as needed. Participate in technical design discussions with an implementation focus. 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.
08/06/2026
Full time
Job Title: AI Native Software Engineer Location: Dallas, TX (75% travel) Duration: Temp - 3+ months with possibility of conversion Pay Range: $80.00/hr - $88.88/hr (W2) Job ID: 406591 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 AI Native Software Engineer to join our team. The ideal candidate will have strong experience in AI agent engineering, AI platform integration, and cloud-native development and a proven ability to design, build, and deploy production-grade AI-driven systems within enterprise environments. Responsibilities: Design and implement AI agents including retrieval (RAG), orchestration workflows, tool/function invocation, and policy-based routing. Build evaluation frameworks for accuracy, latency, and reliability, with observability and monitoring for the agent lifecycle. Integrate with AI providers such as OpenAI, Anthropic, Google Vertex, and open-source models, and build abstraction layers for multi-model and multi-provider architectures. Optimize model usage for performance, cost, and latency. Develop scalable services using microservices, containers (Docker, Kubernetes), and serverless or event-driven patterns. Implement CI/CD pipelines and infrastructure as code such as Terraform and Helm with production readiness, logging, monitoring, and fault tolerance. Build and deploy AI-powered applications aligned to business workflows and integrate into existing enterprise platforms and APIs. Develop backend services and APIs supporting agent workflows. Define and execute test strategies for AI systems, measure performance, and debug and optimize production systems. Required Skills & Qualifications: 8-10+ years of software engineering experience. Strong experience with cloud-native systems including APIs, microservices, containers, and serverless. Proven experience building and deploying AI or LLM systems in production such as agents, RAG, and orchestration. Proficiency in Python, Java, or similar backend languages. Experience with CI/CD pipelines, infrastructure as code, and monitoring and observability tools. Hands-on experience with AI platforms such as OpenAI, Claude, or Vertex AI. Preferred Skills: Experience with agent frameworks such as LangGraph, AutoGen, or CrewAI. Experience designing multi-agent or distributed AI systems. Familiarity with enterprise-scale system integration. Experience optimizing AI workloads for cost and performance. Scope & Expectations (Contractor-Specific): 100% hands-on engineering role with no people management. Deliver production-quality code and deployments within existing architecture and standards. Collaborate with client and internal engineering teams as needed. Participate in technical design discussions with an implementation focus. 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.
Software Engineer (Full Stack Python) Location: Dallas, TX (Onsite) Fulltime / Contract Salary/Pay rate: Market- DOE Start: immediate Description: Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices Devotes time to raising the quality and craftsmanship of products and systems Conducts root cause analysis to identify domain level problems and prescribes action items to mitigate Designs self-contained systems within a team's domain, and leads implementations of significant capabilities in existing systems Coaches team members in the execution of techniques to improve reliability, resiliency, security, and performance Decomposes intricate and interconnected designs into implementations that can be effectively built and maintained by less experienced engineers Anticipates trouble areas in systems under development and guides the team in instrumentation practices to ensure observability and supportability Defines test suites and instrumentation that ensures targets for latency and availability are being consistently met in production Leads through example by prioritizing the closure of open vulnerabilities Evaluates potential attack surfaces in systems under development, identifies best practices to mitigate, and guides teams in their implementation Leads team in the identification of small batches of work to delivery the highest value quickly Ensures reuse is a first class consideration in all team implementations and is a passionate advocate for broad reusability Formally mentors teammates and helps guide them to and along needed learning journeys Observes their environment and identifies opportunities for introducing new approaches to problems Top requirements: • HashiCorp Vault/ AWS Secrets Management/ Azure Key Vault experience • 5 to 7 years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications (front-end and back-end development) • 5+ years with Python and proficiency with FastAPI • 5+ years with Restful web services Nice to have: • 5+ years with React, TypeScript, JavaScript • Proficiency in object-oriented design techniques and principles • 3+ years with Terraform and Vault • 3+ years of professional, design, and open-source experience • 3+ years with git and GitHub • 3+ years of working in Windows and Linux operating systems (cloud, midrange, distributed), including shell scripting • Proficient w/ database and persistence frameworks: PostgreSQL, Object/Relational Mapping, Query performance tuning • Proficient with Cloud platform such as Azure
08/06/2026
Full time
Software Engineer (Full Stack Python) Location: Dallas, TX (Onsite) Fulltime / Contract Salary/Pay rate: Market- DOE Start: immediate Description: Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices Devotes time to raising the quality and craftsmanship of products and systems Conducts root cause analysis to identify domain level problems and prescribes action items to mitigate Designs self-contained systems within a team's domain, and leads implementations of significant capabilities in existing systems Coaches team members in the execution of techniques to improve reliability, resiliency, security, and performance Decomposes intricate and interconnected designs into implementations that can be effectively built and maintained by less experienced engineers Anticipates trouble areas in systems under development and guides the team in instrumentation practices to ensure observability and supportability Defines test suites and instrumentation that ensures targets for latency and availability are being consistently met in production Leads through example by prioritizing the closure of open vulnerabilities Evaluates potential attack surfaces in systems under development, identifies best practices to mitigate, and guides teams in their implementation Leads team in the identification of small batches of work to delivery the highest value quickly Ensures reuse is a first class consideration in all team implementations and is a passionate advocate for broad reusability Formally mentors teammates and helps guide them to and along needed learning journeys Observes their environment and identifies opportunities for introducing new approaches to problems Top requirements: • HashiCorp Vault/ AWS Secrets Management/ Azure Key Vault experience • 5 to 7 years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications (front-end and back-end development) • 5+ years with Python and proficiency with FastAPI • 5+ years with Restful web services Nice to have: • 5+ years with React, TypeScript, JavaScript • Proficiency in object-oriented design techniques and principles • 3+ years with Terraform and Vault • 3+ years of professional, design, and open-source experience • 3+ years with git and GitHub • 3+ years of working in Windows and Linux operating systems (cloud, midrange, distributed), including shell scripting • Proficient w/ database and persistence frameworks: PostgreSQL, Object/Relational Mapping, Query performance tuning • Proficient with Cloud platform such as Azure
Pinnacle Technical Resources
Charlotte, North Carolina
Position: Production Support Engineer Location: Charlotte, North Carolina Duration: Contract Job ID: 177529 Only W2 ( No C2C please ) Job Overview: We are seeking a skilled Production Support Engineer to join our technology operations team. The ideal candidate will bring hands-on experience in production support, automation, monitoring, and incident management, with a strong focus on ensuring system reliability and operational excellence. This role requires strong problem-solving abilities, technical depth, and clear documentation skills to support high-availability business-critical applications. Responsibilities: Provide L2/L3 production support for critical applications, performing root cause analysis (RCA) and implementing long-term solutions. Monitor application and infrastructure performance using tools such as Grafana, AppDynamics, Splunk, and ITRS, and proactively resolve issues. Develop, maintain, and enhance automation scripts and services using Ansible, Python, Shell, PowerShell, and database queries to streamline support workflows. Support Business Continuity Planning (BCP) and disaster recovery strategies to ensure high availability and resiliency of systems. Collaborate with development, DevOps, and infrastructure teams to implement process improvements and enhance operational maturity. Maintain detailed documentation of processes, system designs, and incident resolutions, and communicate technical solutions effectively to stakeholders. Manage deployments on OpenShift and containerized platforms, ensuring stability, performance, and scalability. Work with integration services and wires to ensure seamless system operations and connectivity. Qualifications: 3 to 7 years of experience in a production support role. Hands-on experience with OpenShift, Ansible, and automation scripting (Python, Shell, PowerShell, etc.). Proficiency in monitoring and observability tools such as Grafana, AppDynamics, ITRS, and Splunk. Strong knowledge of databases (SQL, queries, optimization). Experience supporting large-scale, high-availability systems in a 24x7 production environment. Familiarity with incident management, problem management, and BCP/DR frameworks. Strong documentation, articulation, and communication skills. Ability to work collaboratively in cross-functional teams in fast-paced environments. Preferred Qualifications: Previous work in financial services technology or production engineering roles. Experience with global automation functions. Familiarity with payment systems (e.g., Fedwire, CHIPs, and RTP) or liquidity platforms is a plus. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $42 - $50 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
08/06/2026
Full time
Position: Production Support Engineer Location: Charlotte, North Carolina Duration: Contract Job ID: 177529 Only W2 ( No C2C please ) Job Overview: We are seeking a skilled Production Support Engineer to join our technology operations team. The ideal candidate will bring hands-on experience in production support, automation, monitoring, and incident management, with a strong focus on ensuring system reliability and operational excellence. This role requires strong problem-solving abilities, technical depth, and clear documentation skills to support high-availability business-critical applications. Responsibilities: Provide L2/L3 production support for critical applications, performing root cause analysis (RCA) and implementing long-term solutions. Monitor application and infrastructure performance using tools such as Grafana, AppDynamics, Splunk, and ITRS, and proactively resolve issues. Develop, maintain, and enhance automation scripts and services using Ansible, Python, Shell, PowerShell, and database queries to streamline support workflows. Support Business Continuity Planning (BCP) and disaster recovery strategies to ensure high availability and resiliency of systems. Collaborate with development, DevOps, and infrastructure teams to implement process improvements and enhance operational maturity. Maintain detailed documentation of processes, system designs, and incident resolutions, and communicate technical solutions effectively to stakeholders. Manage deployments on OpenShift and containerized platforms, ensuring stability, performance, and scalability. Work with integration services and wires to ensure seamless system operations and connectivity. Qualifications: 3 to 7 years of experience in a production support role. Hands-on experience with OpenShift, Ansible, and automation scripting (Python, Shell, PowerShell, etc.). Proficiency in monitoring and observability tools such as Grafana, AppDynamics, ITRS, and Splunk. Strong knowledge of databases (SQL, queries, optimization). Experience supporting large-scale, high-availability systems in a 24x7 production environment. Familiarity with incident management, problem management, and BCP/DR frameworks. Strong documentation, articulation, and communication skills. Ability to work collaboratively in cross-functional teams in fast-paced environments. Preferred Qualifications: Previous work in financial services technology or production engineering roles. Experience with global automation functions. Familiarity with payment systems (e.g., Fedwire, CHIPs, and RTP) or liquidity platforms is a plus. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $42 - $50 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Job Title: AI Technical Project Manager / AI Program Manager Location: Charlotte, NC / Chicago, IL Duration: Contract - 12 months Pay Range: $67.69/hr (W2) Job ID: 407701 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 experienced IT Program Manager to lead end-to-end planning and execution for AI programs across discovery, prototyping, pilot, and production. The ideal candidate will have strong experience in Agile program management, AI delivery lifecycles, and risk controls and a proven ability to drive cross-functional delivery, ensure Responsible AI governance, and achieve outcome-based results in regulated environments. Responsibilities: Establish and maintain integrated project plans with milestones, dependencies, and critical paths for AI initiatives. Run Agile ceremonies across Scrum and Kanban and adapt to hybrid delivery for model and platform work. Own RAID management with clear owners, due dates, mitigations, and dependency tracking. Coordinate delivery across Product, Engineering, Reliability Engineering, Data, and Compliance functions. Track budgets, vendor engagements, and resourcing and maintain accurate status and forecast reporting. Ensure Responsible AI governance including data privacy, model risk, bias and fairness, explainability, and human-in-the-loop controls. Drive operational readiness for production support including runbooks, incident playbooks, SLAs/SLOs, observability, and ServiceNow Knowledge Management alignment. Partner on release planning, change management, and operational handoffs and lead post-launch retrospectives and continuous improvement. Maintain project artifacts in Jira and Confluence and uphold documentation standards, including JSON-first specifications where applicable. Facilitate stakeholder communications including executive updates, decision logs, and KPI/OKR-based reporting. Support evaluation pipelines such as A/B tests, offline benchmarks, and red-team testing and define acceptance criteria for AI features. Align security and compliance reviews including access controls, audit trails, and policy exceptions with enterprise standards. Required Skills & Qualifications: Project and program management expertise in Agile and hybrid delivery for AI initiatives. Strong stakeholder management and risk control capabilities with clear communication skills. Proficiency with Jira and Confluence and standard PM artifacts including RAID, roadmaps, status, and budget tracking. 7+ years leading complex technology projects and 3+ years delivering AI/ML or LLM-based solutions. Preferred Skills: Experience with GenAI, agentic systems, LangChain or LangGraph, and RAG pipelines. Familiarity with Python, FastAPI integration patterns, vector and relational database basics, and LLM evaluation metrics including quality, safety, latency, and cost. Exposure to LLMOps or MLOps practices including observability, rollback, feature flags, and CI/CD for models. Financial services or regulated industry experience and production support background. Certifications such as PMP, PMI-ACP, or CSM. 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.
08/06/2026
Full time
Job Title: AI Technical Project Manager / AI Program Manager Location: Charlotte, NC / Chicago, IL Duration: Contract - 12 months Pay Range: $67.69/hr (W2) Job ID: 407701 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 experienced IT Program Manager to lead end-to-end planning and execution for AI programs across discovery, prototyping, pilot, and production. The ideal candidate will have strong experience in Agile program management, AI delivery lifecycles, and risk controls and a proven ability to drive cross-functional delivery, ensure Responsible AI governance, and achieve outcome-based results in regulated environments. Responsibilities: Establish and maintain integrated project plans with milestones, dependencies, and critical paths for AI initiatives. Run Agile ceremonies across Scrum and Kanban and adapt to hybrid delivery for model and platform work. Own RAID management with clear owners, due dates, mitigations, and dependency tracking. Coordinate delivery across Product, Engineering, Reliability Engineering, Data, and Compliance functions. Track budgets, vendor engagements, and resourcing and maintain accurate status and forecast reporting. Ensure Responsible AI governance including data privacy, model risk, bias and fairness, explainability, and human-in-the-loop controls. Drive operational readiness for production support including runbooks, incident playbooks, SLAs/SLOs, observability, and ServiceNow Knowledge Management alignment. Partner on release planning, change management, and operational handoffs and lead post-launch retrospectives and continuous improvement. Maintain project artifacts in Jira and Confluence and uphold documentation standards, including JSON-first specifications where applicable. Facilitate stakeholder communications including executive updates, decision logs, and KPI/OKR-based reporting. Support evaluation pipelines such as A/B tests, offline benchmarks, and red-team testing and define acceptance criteria for AI features. Align security and compliance reviews including access controls, audit trails, and policy exceptions with enterprise standards. Required Skills & Qualifications: Project and program management expertise in Agile and hybrid delivery for AI initiatives. Strong stakeholder management and risk control capabilities with clear communication skills. Proficiency with Jira and Confluence and standard PM artifacts including RAID, roadmaps, status, and budget tracking. 7+ years leading complex technology projects and 3+ years delivering AI/ML or LLM-based solutions. Preferred Skills: Experience with GenAI, agentic systems, LangChain or LangGraph, and RAG pipelines. Familiarity with Python, FastAPI integration patterns, vector and relational database basics, and LLM evaluation metrics including quality, safety, latency, and cost. Exposure to LLMOps or MLOps practices including observability, rollback, feature flags, and CI/CD for models. Financial services or regulated industry experience and production support background. Certifications such as PMP, PMI-ACP, or CSM. 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.
Hi I hope you are doing well. We have an urgent position listed below. Please send your most recent resume along with the expected rate if you are interested. Job Role: Snowflake Solutions Architect Location: IFF office, Union Beach New Jersey (hybrid 3 days in a week (Tues, Wed & Thurs Visa: USC/GC/GC-EAD/TN-W2 Only Job Description: Mandatory Skills:- Snowflake Admin, DBT Admin, Solution Architect, Python, SQL, AWS Core Technical Skills Snowflake: architecture patterns, security/governance, optimisation, and operational best practices. AWS Data Analytics Services: working knowledge of how services integrate for governed access (Lake Formation with Athena/Glue/Redshift/EMR). Power BI: semantic model/dataset design and governance; ability to align BI layer with enterprise BI architecture principles. Amazon Bedrock: ability to solution GenAI workloads using Agents/Knowledge Bases and implement guardrails for safety. Strong SQL and data modeling (dimensional modeling, marts, analytical patterns). Role Summary We are seeking a hands-on Snowflake Solutions Architect to design and lead modern, scalable data platforms on Snowflake + AWS Analytics services, enable governed analytics through Power BI semantic models, and accelerate GenAI use cases using Amazon Bedrock (Agents/Knowledge Bases/Guardrails). The role will partner with business and engineering teams to define architecture, guide implementation, and ensure security, performance, and cost-efficiency across the data and AI landscape. Key Responsibilities 1) Solution Architecture (Snowflake + AWS Analytics) Own end-to-end architecture for cloud data platforms leveraging Snowflake and AWS-native analytics services (e.g., S3, Glue, Lake Formation, Athena, Redshift, EMR/Kinesis/MSK as applicable). Define target-state patterns for historical + incremental loads, batch/real-time ingestion, and scalable transformations using tools like dbt and orchestration frameworks (e.g., Airflow). Design Lakehouse / Medallion style architectures and integration approaches between AWS data lake and Snowflake analytics marts, including modern table formats (e.g., Iceberg where applicable). Lead architecture reviews, trade-off decisions (performance/cost/security), and ensure solutions meet non-functional requirements. 2) Data Engineering Enablement & Integration Guide teams on building robust ELT/ETL pipelines, metadata management, and data quality controls (audit, reconciliation, balance/control frameworks). Establish best practices for Snowflake performance tuning, query optimization, and workload management. Define ingestion patterns from enterprise sources (e.g., SAP and other systems) into AWS/Snowflake using standard integration approaches 3) Analytics & BI (Power BI) Architect and govern Power BI semantic models/datasets, ensuring consistent metrics ("single version of truth"), strong performance, and reusability. Implement enterprise-grade security for BI (e.g., Row-Level Security (RLS), access controls, dataset governance) aligned with data platform security design. Partner with BI developers and stakeholders to deliver scalable reporting patterns and lifecycle governance (certification, promotion, workspace standards). 4) GenAI Architecture (Amazon Bedrock) Design GenAI solution patterns using Amazon Bedrock, including Agents, Knowledge Bases (RAG), and safe deployment controls using Guardrails. Define agent tool/action patterns (action groups), retrieval grounding strategy, and observability/tracing for production readiness. 5) Security, Governance & Compliance Implement fine-grained access control across the lake/warehouse ecosystem and enforce governance controls for data access and auditability. Define governance integration approaches beyond native capabilities when needed (catalog/lineage tools, stewardship workflows). 6) Stakeholder Leadership & Delivery Lead technical discovery, translate business needs into architecture, and produce design artifacts (HLD/LLD, roadmaps, standards). Mentor engineers, enforce engineering standards, and collaborate across product, platform, security, and operations teams. Required Qualifications (Must Have) Experience 10+ years in data platform / analytics architecture (or equivalent depth in engineering + architecture). Proven architecture experience with Snowflake (warehouse design, data modeling, performance tuning, governance/security). Strong hands-on AWS analytics/data services experience, especially integrating lake + warehouse and enabling governed access.
08/06/2026
Full time
Hi I hope you are doing well. We have an urgent position listed below. Please send your most recent resume along with the expected rate if you are interested. Job Role: Snowflake Solutions Architect Location: IFF office, Union Beach New Jersey (hybrid 3 days in a week (Tues, Wed & Thurs Visa: USC/GC/GC-EAD/TN-W2 Only Job Description: Mandatory Skills:- Snowflake Admin, DBT Admin, Solution Architect, Python, SQL, AWS Core Technical Skills Snowflake: architecture patterns, security/governance, optimisation, and operational best practices. AWS Data Analytics Services: working knowledge of how services integrate for governed access (Lake Formation with Athena/Glue/Redshift/EMR). Power BI: semantic model/dataset design and governance; ability to align BI layer with enterprise BI architecture principles. Amazon Bedrock: ability to solution GenAI workloads using Agents/Knowledge Bases and implement guardrails for safety. Strong SQL and data modeling (dimensional modeling, marts, analytical patterns). Role Summary We are seeking a hands-on Snowflake Solutions Architect to design and lead modern, scalable data platforms on Snowflake + AWS Analytics services, enable governed analytics through Power BI semantic models, and accelerate GenAI use cases using Amazon Bedrock (Agents/Knowledge Bases/Guardrails). The role will partner with business and engineering teams to define architecture, guide implementation, and ensure security, performance, and cost-efficiency across the data and AI landscape. Key Responsibilities 1) Solution Architecture (Snowflake + AWS Analytics) Own end-to-end architecture for cloud data platforms leveraging Snowflake and AWS-native analytics services (e.g., S3, Glue, Lake Formation, Athena, Redshift, EMR/Kinesis/MSK as applicable). Define target-state patterns for historical + incremental loads, batch/real-time ingestion, and scalable transformations using tools like dbt and orchestration frameworks (e.g., Airflow). Design Lakehouse / Medallion style architectures and integration approaches between AWS data lake and Snowflake analytics marts, including modern table formats (e.g., Iceberg where applicable). Lead architecture reviews, trade-off decisions (performance/cost/security), and ensure solutions meet non-functional requirements. 2) Data Engineering Enablement & Integration Guide teams on building robust ELT/ETL pipelines, metadata management, and data quality controls (audit, reconciliation, balance/control frameworks). Establish best practices for Snowflake performance tuning, query optimization, and workload management. Define ingestion patterns from enterprise sources (e.g., SAP and other systems) into AWS/Snowflake using standard integration approaches 3) Analytics & BI (Power BI) Architect and govern Power BI semantic models/datasets, ensuring consistent metrics ("single version of truth"), strong performance, and reusability. Implement enterprise-grade security for BI (e.g., Row-Level Security (RLS), access controls, dataset governance) aligned with data platform security design. Partner with BI developers and stakeholders to deliver scalable reporting patterns and lifecycle governance (certification, promotion, workspace standards). 4) GenAI Architecture (Amazon Bedrock) Design GenAI solution patterns using Amazon Bedrock, including Agents, Knowledge Bases (RAG), and safe deployment controls using Guardrails. Define agent tool/action patterns (action groups), retrieval grounding strategy, and observability/tracing for production readiness. 5) Security, Governance & Compliance Implement fine-grained access control across the lake/warehouse ecosystem and enforce governance controls for data access and auditability. Define governance integration approaches beyond native capabilities when needed (catalog/lineage tools, stewardship workflows). 6) Stakeholder Leadership & Delivery Lead technical discovery, translate business needs into architecture, and produce design artifacts (HLD/LLD, roadmaps, standards). Mentor engineers, enforce engineering standards, and collaborate across product, platform, security, and operations teams. Required Qualifications (Must Have) Experience 10+ years in data platform / analytics architecture (or equivalent depth in engineering + architecture). Proven architecture experience with Snowflake (warehouse design, data modeling, performance tuning, governance/security). Strong hands-on AWS analytics/data services experience, especially integrating lake + warehouse and enabling governed access.
Job Title Senior Backend Software Engineer (Java, AWS & Kubernetes) Overview We are seeking an experienced Backend Software Engineer to design, develop, and support cloud-based platform services and APIs for a large-scale connected technology platform. The ideal candidate will have strong expertise in Java, cloud-native development, microservices architecture, and AWS technologies while contributing throughout the full software development lifecycle. This is a hybrid position requiring four days per week in the office. Candidates may work from either the Dearborn, MI or Palo Alto, CA office. Key Responsibilities Design, develop, maintain, and support mission-critical cloud platform components. Build and enhance secure, reliable, and scalable platform services and APIs. Develop RESTful and gRPC-based microservices using Java and Spring Boot. Deploy containerized applications using Docker and Kubernetes (EKS). Develop Kafka producers and consumers for real-time event processing. Implement OAuth2/JWT authentication and authorization. Follow Test-Driven Development (TDD) practices and create integration tests. Instrument applications with logging, metrics, and monitoring to support observability and performance. Design, implement, deploy, monitor, and support software throughout the full development lifecycle. Collaborate with software engineers, architects, product teams, and other stakeholders to deliver production-ready solutions. Participate in technical design discussions and promote engineering best practices. Support high-availability, scalable cloud applications in an always-on production environment. Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Master's degree preferred. 5+ years of progressive experience in cloud-based software development. Strong Java development experience. Experience building RESTful APIs and gRPC services. Experience with Spring Boot. Experience with Docker and Kubernetes (EKS). Experience with Apache Kafka. Experience with PostgreSQL. Experience implementing OAuth2/JWT security. Experience with AWS cloud services. Experience using Terraform for Infrastructure as Code. Experience with CI/CD pipelines. Experience with GitHub. Experience with ArgoCD. Experience with SonarQube and FOSSA. Strong understanding of API design and integration. Experience designing, deploying, and supporting cloud-based production solutions. Experience supporting highly available, mission-critical applications. Knowledge of cloud security principles. Experience with JSON, REST, Swagger, and Postman. Strong analytical and problem-solving skills. Experience working in Agile development environments. Ability to write clean, maintainable, and well-tested code. 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.
08/06/2026
Full time
Job Title Senior Backend Software Engineer (Java, AWS & Kubernetes) Overview We are seeking an experienced Backend Software Engineer to design, develop, and support cloud-based platform services and APIs for a large-scale connected technology platform. The ideal candidate will have strong expertise in Java, cloud-native development, microservices architecture, and AWS technologies while contributing throughout the full software development lifecycle. This is a hybrid position requiring four days per week in the office. Candidates may work from either the Dearborn, MI or Palo Alto, CA office. Key Responsibilities Design, develop, maintain, and support mission-critical cloud platform components. Build and enhance secure, reliable, and scalable platform services and APIs. Develop RESTful and gRPC-based microservices using Java and Spring Boot. Deploy containerized applications using Docker and Kubernetes (EKS). Develop Kafka producers and consumers for real-time event processing. Implement OAuth2/JWT authentication and authorization. Follow Test-Driven Development (TDD) practices and create integration tests. Instrument applications with logging, metrics, and monitoring to support observability and performance. Design, implement, deploy, monitor, and support software throughout the full development lifecycle. Collaborate with software engineers, architects, product teams, and other stakeholders to deliver production-ready solutions. Participate in technical design discussions and promote engineering best practices. Support high-availability, scalable cloud applications in an always-on production environment. Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Master's degree preferred. 5+ years of progressive experience in cloud-based software development. Strong Java development experience. Experience building RESTful APIs and gRPC services. Experience with Spring Boot. Experience with Docker and Kubernetes (EKS). Experience with Apache Kafka. Experience with PostgreSQL. Experience implementing OAuth2/JWT security. Experience with AWS cloud services. Experience using Terraform for Infrastructure as Code. Experience with CI/CD pipelines. Experience with GitHub. Experience with ArgoCD. Experience with SonarQube and FOSSA. Strong understanding of API design and integration. Experience designing, deploying, and supporting cloud-based production solutions. Experience supporting highly available, mission-critical applications. Knowledge of cloud security principles. Experience with JSON, REST, Swagger, and Postman. Strong analytical and problem-solving skills. Experience working in Agile development environments. Ability to write clean, maintainable, and well-tested code. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Job Description: Location: This is a hybrid position that requires the candidate to work on-site in Renton, WA, on Tuesday, Wednesday, and Thursday, and to work remotely on Mondays and Fridays. Sr. Google Platform Engineer: The cloud platform underpins how services are built, deployed, and operated across the organization. As the platform expands, integrating Google Cloud Platform (GCP) and Google Workspaces into a cohesive, governed, and automated ecosystem is critical to enabling secure collaboration, scalable infrastructure, and consistent developer experiences. As a Senior Google Platform Engineer, you will design and implement the platform capabilities that unify identity, collaboration, and cloud infrastructure across GCP and Workspace technologies, like Analytics, Firebase, Maps, and Play. You will ensure these services are not managed as isolated tools, but as integrated components of a standardized, self-service platform. This role operates at the platform architecture and implementation layer, translating identity, access, collaboration, and infrastructure requirements into automated, scalable, and secure platform patterns. Success in this role means teams can provision, collaborate, and operate across Google services using consistent, automated workflows, without manual setup or fragmented configurations. What You'll Do Design GCP Platform Foundations Architect and implement GCP project, folder, and organization structures aligned with platform standards Implement Google managed accounts for GCP project, folder, and organization structures aligned with platform standards Define and enforce identity and access patterns using IAM, service accounts, and federation Build automated workflows for project provisioning, lifecycle management, and decommissioning Ensure GCP environments are created through standardized, auditable, and repeatable processes Integrate Google Workspace into the Platform Design and automate Google Workspace identity, group, and access models Integrate Workspace with cloud identity systems (e.g., Azure AD / Entra ID, SSO, federation) Standardize provisioning and lifecycle of: Users and groups Shared drives and collaboration resources Access controls aligned to platform guardrails Ensure Workspace usage aligns with security, compliance, and governance standards Enable Identity-Centric Platform Architecture Build and enforce identity-first platform patterns across GCP, Workspace, and other cloud systems Automate role-based access, group management, and policy enforcement Ensure consistent identity propagation across: Infrastructure CI/CD systems Observability platforms Reduce reliance on manual access management and exception handling Automate Platform Workflows & Guardrails Implement Infrastructure-as-Code (IaC) and automation for GCP and Workspace integrations Encode platform guardrails using policy frameworks and automation tools Ensure provisioning, access, and configuration changes occur through approved, observable workflows Reduce manual intervention by expanding automation coverage Integrate Cross-Platform Capabilities Ensure GCP and Workspace integrate seamlessly with: CI/CD platforms (e.g., GitLab) Infrastructure tools (e.g., Terraform Cloud) Observability platforms (e.g., Datadog) Enable consistent patterns across multi-cloud and multi-tool environments Drive Platform Adoption & Consistency Partner with engineering teams to identify friction in platform usage Improve usability through standard patterns, templates, and documentation Ensure platform capabilities are easier to adopt than custom solutions Guide teams toward platform-first usage models What You'll Bring Experience & Expertise 5-8+ years of experience in cloud, platform, or infrastructure engineering Hands-on experience with Google Cloud Platform (GCP) architecture and services Experience with Google Workspace administration and integration Strong understanding of: Identity and access management (IAM, SSO, federation) Cloud organization and resource hierarchy design Network and security fundamentals Platform & Automation Experience building automated, reusable platform capabilities Proficiency with Infrastructure-as-Code (Terraform, etc.) Strong scripting and automation skills Experience integrating identity and access controls into automated workflows Cross-Platform Integration Experience integrating GCP with: Enterprise identity providers (e.g., Azure AD / Entra ID) CI/CD and developer tooling ecosystems Understanding of multi-cloud and hybrid platform architectures Ability to lead technical design and influence platform standards Experience mentoring engineers and reviewing platform designs Strong communication skills across engineering, security, and leadership teams Pay Range: $80.00 - $90.00 per hour, depending upon experience. Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.
08/06/2026
Full time
Job Description: Location: This is a hybrid position that requires the candidate to work on-site in Renton, WA, on Tuesday, Wednesday, and Thursday, and to work remotely on Mondays and Fridays. Sr. Google Platform Engineer: The cloud platform underpins how services are built, deployed, and operated across the organization. As the platform expands, integrating Google Cloud Platform (GCP) and Google Workspaces into a cohesive, governed, and automated ecosystem is critical to enabling secure collaboration, scalable infrastructure, and consistent developer experiences. As a Senior Google Platform Engineer, you will design and implement the platform capabilities that unify identity, collaboration, and cloud infrastructure across GCP and Workspace technologies, like Analytics, Firebase, Maps, and Play. You will ensure these services are not managed as isolated tools, but as integrated components of a standardized, self-service platform. This role operates at the platform architecture and implementation layer, translating identity, access, collaboration, and infrastructure requirements into automated, scalable, and secure platform patterns. Success in this role means teams can provision, collaborate, and operate across Google services using consistent, automated workflows, without manual setup or fragmented configurations. What You'll Do Design GCP Platform Foundations Architect and implement GCP project, folder, and organization structures aligned with platform standards Implement Google managed accounts for GCP project, folder, and organization structures aligned with platform standards Define and enforce identity and access patterns using IAM, service accounts, and federation Build automated workflows for project provisioning, lifecycle management, and decommissioning Ensure GCP environments are created through standardized, auditable, and repeatable processes Integrate Google Workspace into the Platform Design and automate Google Workspace identity, group, and access models Integrate Workspace with cloud identity systems (e.g., Azure AD / Entra ID, SSO, federation) Standardize provisioning and lifecycle of: Users and groups Shared drives and collaboration resources Access controls aligned to platform guardrails Ensure Workspace usage aligns with security, compliance, and governance standards Enable Identity-Centric Platform Architecture Build and enforce identity-first platform patterns across GCP, Workspace, and other cloud systems Automate role-based access, group management, and policy enforcement Ensure consistent identity propagation across: Infrastructure CI/CD systems Observability platforms Reduce reliance on manual access management and exception handling Automate Platform Workflows & Guardrails Implement Infrastructure-as-Code (IaC) and automation for GCP and Workspace integrations Encode platform guardrails using policy frameworks and automation tools Ensure provisioning, access, and configuration changes occur through approved, observable workflows Reduce manual intervention by expanding automation coverage Integrate Cross-Platform Capabilities Ensure GCP and Workspace integrate seamlessly with: CI/CD platforms (e.g., GitLab) Infrastructure tools (e.g., Terraform Cloud) Observability platforms (e.g., Datadog) Enable consistent patterns across multi-cloud and multi-tool environments Drive Platform Adoption & Consistency Partner with engineering teams to identify friction in platform usage Improve usability through standard patterns, templates, and documentation Ensure platform capabilities are easier to adopt than custom solutions Guide teams toward platform-first usage models What You'll Bring Experience & Expertise 5-8+ years of experience in cloud, platform, or infrastructure engineering Hands-on experience with Google Cloud Platform (GCP) architecture and services Experience with Google Workspace administration and integration Strong understanding of: Identity and access management (IAM, SSO, federation) Cloud organization and resource hierarchy design Network and security fundamentals Platform & Automation Experience building automated, reusable platform capabilities Proficiency with Infrastructure-as-Code (Terraform, etc.) Strong scripting and automation skills Experience integrating identity and access controls into automated workflows Cross-Platform Integration Experience integrating GCP with: Enterprise identity providers (e.g., Azure AD / Entra ID) CI/CD and developer tooling ecosystems Understanding of multi-cloud and hybrid platform architectures Ability to lead technical design and influence platform standards Experience mentoring engineers and reviewing platform designs Strong communication skills across engineering, security, and leadership teams Pay Range: $80.00 - $90.00 per hour, depending upon experience. Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.
Role Summary: We are looking for a high-caliber Product Engineering Architecht to be embedded onsite with our client. You will operate across technology stacks, leverage Agentic AI capabilities, and ensure delivery excellence from concept to production. Architect and build enterprise-grade applications across .NET, Java, or similar stacks Embed Agentic AI capabilities into workflows, products, and operational systems Business + Product + Engineering Depth • Strong ability to connect business goals with product design and technical architecture • Experience shaping MVPs, scaling platforms, and modernizing legacy systems Hands-on Engineering Strength • Proven experience in enterprise application development (.NET, Java, or similar ecosystems) • Strong understanding of architecture patterns, microservices, APIs, cloud-native systems • Deep knowledge of SDLC/PDLC best practices and delivery governance Agentic AI Capability • Practical experience using LLMs and Agentic AI frameworks in production environments • Ability to design AI-augmented workflows and intelligent automation systems • Understanding of orchestration, guardrails, observability, and evaluation Execution Track Record • Demonstrated success delivering complex transformation programs • Experience working onsite with enterprise clients • Strong ownership mindset with measurable delivery impact What Success Looks Like • Ideas converted into production-grade solutions • Agentic AI embedded meaningfully - not as experimentation, but as value creation • Clean architecture. Predictable delivery. High-quality releases. • Client confidence and trust built through clarity and execution discipline
08/06/2026
Full time
Role Summary: We are looking for a high-caliber Product Engineering Architecht to be embedded onsite with our client. You will operate across technology stacks, leverage Agentic AI capabilities, and ensure delivery excellence from concept to production. Architect and build enterprise-grade applications across .NET, Java, or similar stacks Embed Agentic AI capabilities into workflows, products, and operational systems Business + Product + Engineering Depth • Strong ability to connect business goals with product design and technical architecture • Experience shaping MVPs, scaling platforms, and modernizing legacy systems Hands-on Engineering Strength • Proven experience in enterprise application development (.NET, Java, or similar ecosystems) • Strong understanding of architecture patterns, microservices, APIs, cloud-native systems • Deep knowledge of SDLC/PDLC best practices and delivery governance Agentic AI Capability • Practical experience using LLMs and Agentic AI frameworks in production environments • Ability to design AI-augmented workflows and intelligent automation systems • Understanding of orchestration, guardrails, observability, and evaluation Execution Track Record • Demonstrated success delivering complex transformation programs • Experience working onsite with enterprise clients • Strong ownership mindset with measurable delivery impact What Success Looks Like • Ideas converted into production-grade solutions • Agentic AI embedded meaningfully - not as experimentation, but as value creation • Clean architecture. Predictable delivery. High-quality releases. • Client confidence and trust built through clarity and execution discipline
