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senior software engineer c net azure devops net core
Request Technology - Robyn Honquest
Software Engineer - Java/C# - IoT
Request Technology - Robyn Honquest Oak Brook, Illinois
NO SPONSORSHIP SOFTWARE ENGINEER PLATFORM ENGINEER - Java/C#.NET SALARY: $97k -$184k plus 15% bonus LOCATION: Oak Brook, IL hybrid 3 days onsite Java & C# .NET developer, who can take Java technology and redesign it in .NET They want to move away from Java totally and eventually do all .NET (Back End development/Middleware enhancements) Any product development is a plus Internet of things IoT Looking for a candidate to architect and enhance core Middleware that powers cloud IoT platform design development and delivery. ISO, Java, .NET C# Azure Kafka Rabbit MQ AWS infrastructure as a code IoC Terraform CICD Jenkins GitHub Microservices Containerization Docker Kubernetes AWS Multi Cloud Key Responsibilities: Act as a technical authority and key driver in the design, development, and delivery of innovative features, collaborating with product owners, Front End, Middleware, DevOps, and firmware teams to align technical solutions with business goals. Lead technical assessments, scope changes, and oversee the management of the codebase for critical business requirements, high-impact product enhancements, and complex change requests across multiple initiatives. Architect and implement scalable, efficient, and robust software designs for high-complexity projects, working closely with solution architects and senior engineering leaders to ensure alignment with platform and business strategies. Champion Agile methodologies, such as Scrum, to enable efficient development cycles, continuous integration, and high-quality deliverables in Middleware development. Facilitate and lead strategic technical discussions, including architecture reviews, design meetings, and pull requests, fostering a culture of engineering excellence and collaboration. Drive adherence to best practices, coding standards, and platform design principles to deliver high-quality, reusable, and maintainable code. Develop deep domain expertise in platform-specific frameworks, features, and Middleware components, acting as a subject-matter expert and advisor across teams. Mentor and coach engineers across the organization, building technical capability, fostering innovation, and cultivating leadership within the engineering team. Collaborate with cross-functional domain experts including infrastructure, database, security, and Front End teams to drive cohesive solutions and seamless integration. Provide technical leadership approaches to elevate the myQ platform's technical capabilities and market competitiveness. ISO 27001 standards Job Requirements: Bachelors Degree An advanced degree in a directly relevant area of study may substitute for up to two (2) years of job-related experience. 8+ years of experience in software engineering, design, development, and deployment of large-scale systems Extensive experience in creating technical documentation, including design specifications, architecture diagrams, and deployment guides. Deep understanding of Agile methodologies and Scrum processes Proficiency with Java, .NET, C#, Azure, SQL, and Visual Studio. Hands-on experience with GIT, NoSQL databases, and messaging systems such as Kafka, RabbitMQ, or similar technologies. Advanced knowledge of AWS services, including but not limited to EC2, S3, Lambda, API Gateway, RDS, DynamoDB, and CloudFront. Strong expertise in Infrastructure as Code (IaC) using Terraform for automated provisioning and management of cloud resources. Proficiency with CI/CD tools such as Jenkins, GitHub Actions, or AWS CodePipeline, and experience with automated testing and deployment frameworks. Experience Docker and Kubernetes. Ability to travel domestically and internationally up to 10%. Knowledge, Skills, and Abilities: In-depth understanding of software development and design principles, with a focus on building scalable, secure, and maintainable systems. Comprehensive expertise in cloud-based development and architecture, with a strong focus on AWS and multi-cloud solutions. Exceptional ability to lead, collaborate, and provide clear technical direction to multiple development teams across diverse geographies. Deep knowledge of CI/CD practices, tools, and deployment processes, enabling efficient and reliable software delivery. Proven ability to debug, troubleshoot, and resolve complex technical issues in distributed systems and cloud environments. Proficiency in estimating work, supporting project planning efforts, and reporting progress to stakeholders at a platform and organizational level. Strong understanding of security best practices in cloud environments, including IAM roles, encryption, and network security. Demonstrated ability to leverage cloud monitoring and logging tools such as AWS CloudWatch, Elastic Stack, or Datadog for performance optimization and incident resolution. Experience with automated testing frameworks and ensuring high-quality software delivery through robust test pipelines.
04/07/2025
Full time
NO SPONSORSHIP SOFTWARE ENGINEER PLATFORM ENGINEER - Java/C#.NET SALARY: $97k -$184k plus 15% bonus LOCATION: Oak Brook, IL hybrid 3 days onsite Java & C# .NET developer, who can take Java technology and redesign it in .NET They want to move away from Java totally and eventually do all .NET (Back End development/Middleware enhancements) Any product development is a plus Internet of things IoT Looking for a candidate to architect and enhance core Middleware that powers cloud IoT platform design development and delivery. ISO, Java, .NET C# Azure Kafka Rabbit MQ AWS infrastructure as a code IoC Terraform CICD Jenkins GitHub Microservices Containerization Docker Kubernetes AWS Multi Cloud Key Responsibilities: Act as a technical authority and key driver in the design, development, and delivery of innovative features, collaborating with product owners, Front End, Middleware, DevOps, and firmware teams to align technical solutions with business goals. Lead technical assessments, scope changes, and oversee the management of the codebase for critical business requirements, high-impact product enhancements, and complex change requests across multiple initiatives. Architect and implement scalable, efficient, and robust software designs for high-complexity projects, working closely with solution architects and senior engineering leaders to ensure alignment with platform and business strategies. Champion Agile methodologies, such as Scrum, to enable efficient development cycles, continuous integration, and high-quality deliverables in Middleware development. Facilitate and lead strategic technical discussions, including architecture reviews, design meetings, and pull requests, fostering a culture of engineering excellence and collaboration. Drive adherence to best practices, coding standards, and platform design principles to deliver high-quality, reusable, and maintainable code. Develop deep domain expertise in platform-specific frameworks, features, and Middleware components, acting as a subject-matter expert and advisor across teams. Mentor and coach engineers across the organization, building technical capability, fostering innovation, and cultivating leadership within the engineering team. Collaborate with cross-functional domain experts including infrastructure, database, security, and Front End teams to drive cohesive solutions and seamless integration. Provide technical leadership approaches to elevate the myQ platform's technical capabilities and market competitiveness. ISO 27001 standards Job Requirements: Bachelors Degree An advanced degree in a directly relevant area of study may substitute for up to two (2) years of job-related experience. 8+ years of experience in software engineering, design, development, and deployment of large-scale systems Extensive experience in creating technical documentation, including design specifications, architecture diagrams, and deployment guides. Deep understanding of Agile methodologies and Scrum processes Proficiency with Java, .NET, C#, Azure, SQL, and Visual Studio. Hands-on experience with GIT, NoSQL databases, and messaging systems such as Kafka, RabbitMQ, or similar technologies. Advanced knowledge of AWS services, including but not limited to EC2, S3, Lambda, API Gateway, RDS, DynamoDB, and CloudFront. Strong expertise in Infrastructure as Code (IaC) using Terraform for automated provisioning and management of cloud resources. Proficiency with CI/CD tools such as Jenkins, GitHub Actions, or AWS CodePipeline, and experience with automated testing and deployment frameworks. Experience Docker and Kubernetes. Ability to travel domestically and internationally up to 10%. Knowledge, Skills, and Abilities: In-depth understanding of software development and design principles, with a focus on building scalable, secure, and maintainable systems. Comprehensive expertise in cloud-based development and architecture, with a strong focus on AWS and multi-cloud solutions. Exceptional ability to lead, collaborate, and provide clear technical direction to multiple development teams across diverse geographies. Deep knowledge of CI/CD practices, tools, and deployment processes, enabling efficient and reliable software delivery. Proven ability to debug, troubleshoot, and resolve complex technical issues in distributed systems and cloud environments. Proficiency in estimating work, supporting project planning efforts, and reporting progress to stakeholders at a platform and organizational level. Strong understanding of security best practices in cloud environments, including IAM roles, encryption, and network security. Demonstrated ability to leverage cloud monitoring and logging tools such as AWS CloudWatch, Elastic Stack, or Datadog for performance optimization and incident resolution. Experience with automated testing frameworks and ensuring high-quality software delivery through robust test pipelines.
Request Technology - Craig Johnson
Senior IBM MQ Middleware Engineer
Request Technology - Craig Johnson Chicago, Illinois
*Position is bonus eligible* Prestigious Financial Institution is currently seeking a Senior IBM MQ Middleware Engineer. Candidate will be responsible for the end-to-end administration, maintenance, and support of our critical IBM MQ messaging infrastructure. This role involves ensuring the reliability, availability, performance, and security of the MQ environment, supporting business applications, and actively participating in strategic initiatives such as cloud migration, containerization, and system modernization. Responsibilities: Install, configure, and maintain IBM MQ software (Queue Managers, Clients) on RHEL. Perform version upgrades, apply fix packs, and manage patching cycles according to best practices and security requirements. Configure MQ objects, including Queue Managers, Queues (Local, Remote, Alias, Model), Channels, Listeners, Clusters, Topics, and Subscriptions. Monitor MQ system performance metrics, message throughput, and latency. Identify performance bottlenecks and implement tuning adjustments at the Queue Manager, channel, and queue levels. Analyze MQ logs and trace data to optimize configurations. Provide expert-level troubleshooting for MQ-related issues, including connectivity problems, message delivery failures, security errors, and performance degradation. Act as a primary point of contact for application teams regarding MQ connectivity and messaging issues. Respond to incidents, diagnose root causes, and implement corrective actions, participating in on-call rotation if applicable. Monitor resource utilization (CPU, memory, disk space, message depths) and forecast future capacity needs. Design and implement scalable MQ solutions, including clustering and distributed queuing, to meet growing business demands. Develop, implement, test, and maintain disaster recovery (DR) procedures for the MQ environment. Configure and manage high availability (HA) solutions, potentially including multi-instance Queue Managers or clustering. Participate in regular DR testing exercises. Implement and manage MQ security configurations, including TLS/SSL for channels, Channel Authentication Rules (CHLAUTH), and Object Authority Manager (OAM). Work with security teams to ensure compliance with security policies and standards. Manage certificates and keystores for secure communication. Interface with IBM support (raising PMRs/Cases) for problem resolution, technical guidance, and product information. Stay informed about IBM MQ product roadmaps, new features, and end-of-support timelines. Participate in the planning, design, and execution of migrating IBM MQ workloads to AWS. Contribute to initiatives involving the deployment and management of IBM MQ in containerized environments (eg, Docker, Kubernetes, OpenShift), utilizing MQ container images and operators. Actively participate in infrastructure modernization projects related to messaging. Develop and maintain scripts (eg, Shell, Python, Perl) or utilize automation tools (eg, Ansible) to streamline routine MQ administration tasks, deployments, and configuration management. Create and maintain comprehensive documentation for MQ architecture, configurations, standards, and operational procedures. Collaborate effectively with application developers, system administrators, network engineers, database administrators, and project managers. Qualifications: Strong understanding of core IBM MQ concepts (Queue Managers, Queues, Channels, Clustering, Publish/Subscribe, Security). Proficiency in administering IBM MQ on [Specify primary OS, eg, Linux, Windows]. Proven troubleshooting skills in diagnosing and resolving complex MQ issues. Experience with Scripting languages (eg, Bash, Python, Perl) for automation. Understanding of networking concepts (TCP/IP, DNS, Firewalls, load balancers) as they relate to MQ. Excellent communication and interpersonal skills. Ability to work independently and as part of a collaborative team. Experience with IBM MQ on RHEL and containers in cloud. Experience with advanced MQ features like MQ Appliances, Advanced Message Security (AMS), Managed File Transfer (MFT). Experience migrating or managing IBM MQ in AWS. Hands-on experience with containerization technologies (Docker, Kubernetes, OpenShift) and managing MQ in containers. Experience with infrastructure-as-code (IaC) tools like Ansible or Terraform. Experience with enterprise monitoring tools (eg, Instana, Dynatrace, Splunk, Nagios, Prometheus). Familiarity with other messaging technologies like Kafka. Experience working in Agile/DevOps environments. IBM MQ, Ansible, Terraform, Bash, Docker Kubernetes, Rancher, GitHub, Artifactory, Harness, Jenkins, AWS, Azure, CI/CD, IaC, Automated Cloud Provisioning Education and/or Experience: Bachelor's degree in Computer Science, Information Technology, or a related field, OR equivalent practical experience. 10+ years of hands-on experience administering IBM MQ in a complex enterprise environment. Certificates or Licenses: AWS Solutions Architect, CKAD or CKA certifications preferred.
04/07/2025
Full time
*Position is bonus eligible* Prestigious Financial Institution is currently seeking a Senior IBM MQ Middleware Engineer. Candidate will be responsible for the end-to-end administration, maintenance, and support of our critical IBM MQ messaging infrastructure. This role involves ensuring the reliability, availability, performance, and security of the MQ environment, supporting business applications, and actively participating in strategic initiatives such as cloud migration, containerization, and system modernization. Responsibilities: Install, configure, and maintain IBM MQ software (Queue Managers, Clients) on RHEL. Perform version upgrades, apply fix packs, and manage patching cycles according to best practices and security requirements. Configure MQ objects, including Queue Managers, Queues (Local, Remote, Alias, Model), Channels, Listeners, Clusters, Topics, and Subscriptions. Monitor MQ system performance metrics, message throughput, and latency. Identify performance bottlenecks and implement tuning adjustments at the Queue Manager, channel, and queue levels. Analyze MQ logs and trace data to optimize configurations. Provide expert-level troubleshooting for MQ-related issues, including connectivity problems, message delivery failures, security errors, and performance degradation. Act as a primary point of contact for application teams regarding MQ connectivity and messaging issues. Respond to incidents, diagnose root causes, and implement corrective actions, participating in on-call rotation if applicable. Monitor resource utilization (CPU, memory, disk space, message depths) and forecast future capacity needs. Design and implement scalable MQ solutions, including clustering and distributed queuing, to meet growing business demands. Develop, implement, test, and maintain disaster recovery (DR) procedures for the MQ environment. Configure and manage high availability (HA) solutions, potentially including multi-instance Queue Managers or clustering. Participate in regular DR testing exercises. Implement and manage MQ security configurations, including TLS/SSL for channels, Channel Authentication Rules (CHLAUTH), and Object Authority Manager (OAM). Work with security teams to ensure compliance with security policies and standards. Manage certificates and keystores for secure communication. Interface with IBM support (raising PMRs/Cases) for problem resolution, technical guidance, and product information. Stay informed about IBM MQ product roadmaps, new features, and end-of-support timelines. Participate in the planning, design, and execution of migrating IBM MQ workloads to AWS. Contribute to initiatives involving the deployment and management of IBM MQ in containerized environments (eg, Docker, Kubernetes, OpenShift), utilizing MQ container images and operators. Actively participate in infrastructure modernization projects related to messaging. Develop and maintain scripts (eg, Shell, Python, Perl) or utilize automation tools (eg, Ansible) to streamline routine MQ administration tasks, deployments, and configuration management. Create and maintain comprehensive documentation for MQ architecture, configurations, standards, and operational procedures. Collaborate effectively with application developers, system administrators, network engineers, database administrators, and project managers. Qualifications: Strong understanding of core IBM MQ concepts (Queue Managers, Queues, Channels, Clustering, Publish/Subscribe, Security). Proficiency in administering IBM MQ on [Specify primary OS, eg, Linux, Windows]. Proven troubleshooting skills in diagnosing and resolving complex MQ issues. Experience with Scripting languages (eg, Bash, Python, Perl) for automation. Understanding of networking concepts (TCP/IP, DNS, Firewalls, load balancers) as they relate to MQ. Excellent communication and interpersonal skills. Ability to work independently and as part of a collaborative team. Experience with IBM MQ on RHEL and containers in cloud. Experience with advanced MQ features like MQ Appliances, Advanced Message Security (AMS), Managed File Transfer (MFT). Experience migrating or managing IBM MQ in AWS. Hands-on experience with containerization technologies (Docker, Kubernetes, OpenShift) and managing MQ in containers. Experience with infrastructure-as-code (IaC) tools like Ansible or Terraform. Experience with enterprise monitoring tools (eg, Instana, Dynatrace, Splunk, Nagios, Prometheus). Familiarity with other messaging technologies like Kafka. Experience working in Agile/DevOps environments. IBM MQ, Ansible, Terraform, Bash, Docker Kubernetes, Rancher, GitHub, Artifactory, Harness, Jenkins, AWS, Azure, CI/CD, IaC, Automated Cloud Provisioning Education and/or Experience: Bachelor's degree in Computer Science, Information Technology, or a related field, OR equivalent practical experience. 10+ years of hands-on experience administering IBM MQ in a complex enterprise environment. Certificates or Licenses: AWS Solutions Architect, CKAD or CKA certifications preferred.
Request Technology - Craig Johnson
Senior IBM MQ Middleware Engineer
Request Technology - Craig Johnson Dallas, Texas
*Position is bonus eligible* Prestigious Financial Institution is currently seeking a Senior IBM MQ Middleware Engineer. Candidate will be responsible for the end-to-end administration, maintenance, and support of our critical IBM MQ messaging infrastructure. This role involves ensuring the reliability, availability, performance, and security of the MQ environment, supporting business applications, and actively participating in strategic initiatives such as cloud migration, containerization, and system modernization. Responsibilities: Install, configure, and maintain IBM MQ software (Queue Managers, Clients) on RHEL. Perform version upgrades, apply fix packs, and manage patching cycles according to best practices and security requirements. Configure MQ objects, including Queue Managers, Queues (Local, Remote, Alias, Model), Channels, Listeners, Clusters, Topics, and Subscriptions. Monitor MQ system performance metrics, message throughput, and latency. Identify performance bottlenecks and implement tuning adjustments at the Queue Manager, channel, and queue levels. Analyze MQ logs and trace data to optimize configurations. Provide expert-level troubleshooting for MQ-related issues, including connectivity problems, message delivery failures, security errors, and performance degradation. Act as a primary point of contact for application teams regarding MQ connectivity and messaging issues. Respond to incidents, diagnose root causes, and implement corrective actions, participating in on-call rotation if applicable. Monitor resource utilization (CPU, memory, disk space, message depths) and forecast future capacity needs. Design and implement scalable MQ solutions, including clustering and distributed queuing, to meet growing business demands. Develop, implement, test, and maintain disaster recovery (DR) procedures for the MQ environment. Configure and manage high availability (HA) solutions, potentially including multi-instance Queue Managers or clustering. Participate in regular DR testing exercises. Implement and manage MQ security configurations, including TLS/SSL for channels, Channel Authentication Rules (CHLAUTH), and Object Authority Manager (OAM). Work with security teams to ensure compliance with security policies and standards. Manage certificates and keystores for secure communication. Interface with IBM support (raising PMRs/Cases) for problem resolution, technical guidance, and product information. Stay informed about IBM MQ product roadmaps, new features, and end-of-support timelines. Participate in the planning, design, and execution of migrating IBM MQ workloads to AWS. Contribute to initiatives involving the deployment and management of IBM MQ in containerized environments (eg, Docker, Kubernetes, OpenShift), utilizing MQ container images and operators. Actively participate in infrastructure modernization projects related to messaging. Develop and maintain scripts (eg, Shell, Python, Perl) or utilize automation tools (eg, Ansible) to streamline routine MQ administration tasks, deployments, and configuration management. Create and maintain comprehensive documentation for MQ architecture, configurations, standards, and operational procedures. Collaborate effectively with application developers, system administrators, network engineers, database administrators, and project managers. Qualifications: Strong understanding of core IBM MQ concepts (Queue Managers, Queues, Channels, Clustering, Publish/Subscribe, Security). Proficiency in administering IBM MQ on [Specify primary OS, eg, Linux, Windows]. Proven troubleshooting skills in diagnosing and resolving complex MQ issues. Experience with Scripting languages (eg, Bash, Python, Perl) for automation. Understanding of networking concepts (TCP/IP, DNS, Firewalls, load balancers) as they relate to MQ. Excellent communication and interpersonal skills. Ability to work independently and as part of a collaborative team. Experience with IBM MQ on RHEL and containers in cloud. Experience with advanced MQ features like MQ Appliances, Advanced Message Security (AMS), Managed File Transfer (MFT). Experience migrating or managing IBM MQ in AWS. Hands-on experience with containerization technologies (Docker, Kubernetes, OpenShift) and managing MQ in containers. Experience with infrastructure-as-code (IaC) tools like Ansible or Terraform. Experience with enterprise monitoring tools (eg, Instana, Dynatrace, Splunk, Nagios, Prometheus). Familiarity with other messaging technologies like Kafka. Experience working in Agile/DevOps environments. IBM MQ, Ansible, Terraform, Bash, Docker Kubernetes, Rancher, GitHub, Artifactory, Harness, Jenkins, AWS, Azure, CI/CD, IaC, Automated Cloud Provisioning Education and/or Experience: Bachelor's degree in Computer Science, Information Technology, or a related field, OR equivalent practical experience. 10+ years of hands-on experience administering IBM MQ in a complex enterprise environment. Certificates or Licenses: AWS Solutions Architect, CKAD or CKA certifications preferred.
04/07/2025
Full time
*Position is bonus eligible* Prestigious Financial Institution is currently seeking a Senior IBM MQ Middleware Engineer. Candidate will be responsible for the end-to-end administration, maintenance, and support of our critical IBM MQ messaging infrastructure. This role involves ensuring the reliability, availability, performance, and security of the MQ environment, supporting business applications, and actively participating in strategic initiatives such as cloud migration, containerization, and system modernization. Responsibilities: Install, configure, and maintain IBM MQ software (Queue Managers, Clients) on RHEL. Perform version upgrades, apply fix packs, and manage patching cycles according to best practices and security requirements. Configure MQ objects, including Queue Managers, Queues (Local, Remote, Alias, Model), Channels, Listeners, Clusters, Topics, and Subscriptions. Monitor MQ system performance metrics, message throughput, and latency. Identify performance bottlenecks and implement tuning adjustments at the Queue Manager, channel, and queue levels. Analyze MQ logs and trace data to optimize configurations. Provide expert-level troubleshooting for MQ-related issues, including connectivity problems, message delivery failures, security errors, and performance degradation. Act as a primary point of contact for application teams regarding MQ connectivity and messaging issues. Respond to incidents, diagnose root causes, and implement corrective actions, participating in on-call rotation if applicable. Monitor resource utilization (CPU, memory, disk space, message depths) and forecast future capacity needs. Design and implement scalable MQ solutions, including clustering and distributed queuing, to meet growing business demands. Develop, implement, test, and maintain disaster recovery (DR) procedures for the MQ environment. Configure and manage high availability (HA) solutions, potentially including multi-instance Queue Managers or clustering. Participate in regular DR testing exercises. Implement and manage MQ security configurations, including TLS/SSL for channels, Channel Authentication Rules (CHLAUTH), and Object Authority Manager (OAM). Work with security teams to ensure compliance with security policies and standards. Manage certificates and keystores for secure communication. Interface with IBM support (raising PMRs/Cases) for problem resolution, technical guidance, and product information. Stay informed about IBM MQ product roadmaps, new features, and end-of-support timelines. Participate in the planning, design, and execution of migrating IBM MQ workloads to AWS. Contribute to initiatives involving the deployment and management of IBM MQ in containerized environments (eg, Docker, Kubernetes, OpenShift), utilizing MQ container images and operators. Actively participate in infrastructure modernization projects related to messaging. Develop and maintain scripts (eg, Shell, Python, Perl) or utilize automation tools (eg, Ansible) to streamline routine MQ administration tasks, deployments, and configuration management. Create and maintain comprehensive documentation for MQ architecture, configurations, standards, and operational procedures. Collaborate effectively with application developers, system administrators, network engineers, database administrators, and project managers. Qualifications: Strong understanding of core IBM MQ concepts (Queue Managers, Queues, Channels, Clustering, Publish/Subscribe, Security). Proficiency in administering IBM MQ on [Specify primary OS, eg, Linux, Windows]. Proven troubleshooting skills in diagnosing and resolving complex MQ issues. Experience with Scripting languages (eg, Bash, Python, Perl) for automation. Understanding of networking concepts (TCP/IP, DNS, Firewalls, load balancers) as they relate to MQ. Excellent communication and interpersonal skills. Ability to work independently and as part of a collaborative team. Experience with IBM MQ on RHEL and containers in cloud. Experience with advanced MQ features like MQ Appliances, Advanced Message Security (AMS), Managed File Transfer (MFT). Experience migrating or managing IBM MQ in AWS. Hands-on experience with containerization technologies (Docker, Kubernetes, OpenShift) and managing MQ in containers. Experience with infrastructure-as-code (IaC) tools like Ansible or Terraform. Experience with enterprise monitoring tools (eg, Instana, Dynatrace, Splunk, Nagios, Prometheus). Familiarity with other messaging technologies like Kafka. Experience working in Agile/DevOps environments. IBM MQ, Ansible, Terraform, Bash, Docker Kubernetes, Rancher, GitHub, Artifactory, Harness, Jenkins, AWS, Azure, CI/CD, IaC, Automated Cloud Provisioning Education and/or Experience: Bachelor's degree in Computer Science, Information Technology, or a related field, OR equivalent practical experience. 10+ years of hands-on experience administering IBM MQ in a complex enterprise environment. Certificates or Licenses: AWS Solutions Architect, CKAD or CKA certifications preferred.
Red - The Global SAP Solutions Provider
Senior Fullstack Developer
Red - The Global SAP Solutions Provider Warszawa, Mazowieckie
Senior Full Stack Developer - .NET/Angular/React - SaaS/Cloud Applications Location: Warsaw, Poland (Hybrid or Remote flexibility) Start Date: ASAP Contract Type: Long-term contract 6-12 months initial + extensions Industry: Technology/SaaS/Enterprise Solutions We are currently seeking a Senior Full Stack Developer to join a growing digital team working on large-scale, enterprise-grade web applications and SaaS platforms. You'll play a critical role in designing, building, and enhancing modern cloud-native solutions using the latest technologies in the Microsoft stack. This is an excellent opportunity for a skilled and passionate developer to be part of an Agile, collaborative environment with strong growth potential and exposure to global delivery teams. Key Responsibilities: Design and develop robust, scalable features for both new and existing web-based applications Lead R&D efforts on new technologies, libraries, and design patterns Rapidly prototype features and contribute to proof-of-concepts Review code, share knowledge, and mentor junior developers Fix bugs and implement performance improvements across the stack Collaborate closely with global product owners, testers, and business analysts in Agile teams Support business and end-users with technical queries and solution walk-throughs Ensure high coding standards and best practices across development processes Participate in daily stand-ups, planning, grooming sessions, and team demos Essential Skills & Experience: 5+ years of professional software development experience Degree in Computer Science, Engineering, or related technical field Proven experience building large-scale web applications and SaaS platforms Strong proficiency in C# and .NET Core Expertise in TypeScript and Front End frameworks: Angular (13+) or React Solid background in MS SQL/SQL Azure , Entity Framework (EF 6/EF Core) Familiarity with Azure tools : KeyVault, Blob Storage, Queues, etc. Experience with MongoDB or other NoSQL databases Strong knowledge of unit testing frameworks: NUnit , Moq , or Jest Proficient with Git/SVN and collaboration tools: Azure DevOps , Jira , Asana Experience developing and deploying cloud-based applications on Azure , AWS , or GCP Nice to Have: Experience or interest in business analytics and BI tools: Power BI Azure Analysis Services Tableau Anaplan Background in Agile environments with fast-paced delivery cycles Soft Skills: Strong communication skills (verbal and written) Ability to work independently and as part of a globally distributed team Self-driven with a passion for innovation and continuous improvement This role offers long-term potential, interesting tech challenges, and the opportunity to work on cutting-edge web and cloud applications. If you're ready to elevate your career in a collaborative environment where quality and creativity are valued, we'd love to hear from you.
03/07/2025
Project-based
Senior Full Stack Developer - .NET/Angular/React - SaaS/Cloud Applications Location: Warsaw, Poland (Hybrid or Remote flexibility) Start Date: ASAP Contract Type: Long-term contract 6-12 months initial + extensions Industry: Technology/SaaS/Enterprise Solutions We are currently seeking a Senior Full Stack Developer to join a growing digital team working on large-scale, enterprise-grade web applications and SaaS platforms. You'll play a critical role in designing, building, and enhancing modern cloud-native solutions using the latest technologies in the Microsoft stack. This is an excellent opportunity for a skilled and passionate developer to be part of an Agile, collaborative environment with strong growth potential and exposure to global delivery teams. Key Responsibilities: Design and develop robust, scalable features for both new and existing web-based applications Lead R&D efforts on new technologies, libraries, and design patterns Rapidly prototype features and contribute to proof-of-concepts Review code, share knowledge, and mentor junior developers Fix bugs and implement performance improvements across the stack Collaborate closely with global product owners, testers, and business analysts in Agile teams Support business and end-users with technical queries and solution walk-throughs Ensure high coding standards and best practices across development processes Participate in daily stand-ups, planning, grooming sessions, and team demos Essential Skills & Experience: 5+ years of professional software development experience Degree in Computer Science, Engineering, or related technical field Proven experience building large-scale web applications and SaaS platforms Strong proficiency in C# and .NET Core Expertise in TypeScript and Front End frameworks: Angular (13+) or React Solid background in MS SQL/SQL Azure , Entity Framework (EF 6/EF Core) Familiarity with Azure tools : KeyVault, Blob Storage, Queues, etc. Experience with MongoDB or other NoSQL databases Strong knowledge of unit testing frameworks: NUnit , Moq , or Jest Proficient with Git/SVN and collaboration tools: Azure DevOps , Jira , Asana Experience developing and deploying cloud-based applications on Azure , AWS , or GCP Nice to Have: Experience or interest in business analytics and BI tools: Power BI Azure Analysis Services Tableau Anaplan Background in Agile environments with fast-paced delivery cycles Soft Skills: Strong communication skills (verbal and written) Ability to work independently and as part of a globally distributed team Self-driven with a passion for innovation and continuous improvement This role offers long-term potential, interesting tech challenges, and the opportunity to work on cutting-edge web and cloud applications. If you're ready to elevate your career in a collaborative environment where quality and creativity are valued, we'd love to hear from you.
Head of AI
scrumconnect ltd
Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research and proof-of-concept to scalable production. We're looking for a doer who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (eg, neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes) and ensure low-latency, high-availability inference. 2. Strategic Leadership Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses. Establish best practices for data labeling, versioning, and governance to ensure high data quality. Implement ML Ops processes: CI/CD for model training, automated testing, model-drift detection, and continuous monitoring. 4. Team Building & Mentorship Hire and mentor AI/ML engineers, data scientists, and research interns. Set coding standards, model-development guidelines, and rigor around reproducible experiments (eg, clear Git workflow, experiment tracking). Conduct regular code/model reviews and foster a culture of learn by doing and iterative improvement. 5. Research & Innovation Stay abreast of state-of-the-art AI research (eg, pre-training, fine-tuning, generative methods) and evaluate applicability. Publish or present whitepapers/prototype demos if appropriate (keeping stealth constraints in mind). Forge partnerships with academic labs or open-source communities to accelerate innovation. Minimum Qualifications Experience (7 + years total; 3 + years in senior/lead role): Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production). Hands-on expertise building and deploying deep learning models (eg, CNNs, Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skills-able to explain complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor's or Master's in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred (Nice-to-Have) Prior experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 - 1. Background in a relevant domain (eg, healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). Hands-on experience with large-scale language models (LLMs) and prompt engineering (eg, GPT, BERT, T5 family). Familiarity with on-device or edge-AI deployments (eg, TensorFlow Lite, ONNX, mobile/Embedded inference). Knowledge of MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) for experiment tracking and model governance. Open-source contributions or published papers in top-tier AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.). Soft Skills & Cultural Fit Doer Mindset: You thrive in scrappy, ambiguous environments. You'll roll up your sleeves to write production code, prototype research ideas, and iterate quickly. Bias for Action: You favor shipping an MVP quickly, measuring impact, and iterating-over striving for perfect academic proofs that never see production. Ownership Mentality: You treat the startup as your own: you take responsibility for system uptime, data integrity, and feature adoption, not just model accuracy. Collaborative Attitude: You value cross-functional teamwork and can pivot between researcher mode and software engineer mode depending on the task at hand. Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. What We Offer Equity Package: Meaningful ownership stake, commensurate with an early leadership role. Competitive Compensation: Salary aligned with early-stage startup benchmarks; a large portion of the upside is in equity. Autonomy & Impact: You'll shape the technical direction of our AI stack and lay the groundwork for a market-leading product. Flexible Work Environment: Remote-friendly with occasional in-person retreats or team meetups. Learning Budget: Funds for conferences, courses, or publications to ensure you stay at the bleeding edge. Fast-Track Growth: As our first AI hire and eventual team leader, you'll rapidly expand your responsibilities-and the team you build-within months. How to Apply Please send your resume/CV and a brief cover letter with the subject line: Head of AI Application - [Your Name] In your cover letter, highlight: 1. A recent project where you built and deployed an AI/ML system end-to-end (include technical stack and impact). 2. Any leadership or mentoring experience guiding other engineers or data scientists. 3. Why you're excited to join a stealth startup and move quickly from prototype to production. We will review applications on a rolling basis and aim to schedule initial calls within two weeks of receipt. Equal Opportunity: We are committed to building a diverse team and welcome applicants of all backgrounds. We celebrate differences and encourage individuals who thrive in a fast-paced, collaborative, and impact-driven culture to apply. Ready to build world-class AI from day one? Come join us and help shape the future.
01/07/2025
Full time
Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research and proof-of-concept to scalable production. We're looking for a doer who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (eg, neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes) and ensure low-latency, high-availability inference. 2. Strategic Leadership Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses. Establish best practices for data labeling, versioning, and governance to ensure high data quality. Implement ML Ops processes: CI/CD for model training, automated testing, model-drift detection, and continuous monitoring. 4. Team Building & Mentorship Hire and mentor AI/ML engineers, data scientists, and research interns. Set coding standards, model-development guidelines, and rigor around reproducible experiments (eg, clear Git workflow, experiment tracking). Conduct regular code/model reviews and foster a culture of learn by doing and iterative improvement. 5. Research & Innovation Stay abreast of state-of-the-art AI research (eg, pre-training, fine-tuning, generative methods) and evaluate applicability. Publish or present whitepapers/prototype demos if appropriate (keeping stealth constraints in mind). Forge partnerships with academic labs or open-source communities to accelerate innovation. Minimum Qualifications Experience (7 + years total; 3 + years in senior/lead role): Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production). Hands-on expertise building and deploying deep learning models (eg, CNNs, Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skills-able to explain complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor's or Master's in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred (Nice-to-Have) Prior experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 - 1. Background in a relevant domain (eg, healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). Hands-on experience with large-scale language models (LLMs) and prompt engineering (eg, GPT, BERT, T5 family). Familiarity with on-device or edge-AI deployments (eg, TensorFlow Lite, ONNX, mobile/Embedded inference). Knowledge of MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) for experiment tracking and model governance. Open-source contributions or published papers in top-tier AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.). Soft Skills & Cultural Fit Doer Mindset: You thrive in scrappy, ambiguous environments. You'll roll up your sleeves to write production code, prototype research ideas, and iterate quickly. Bias for Action: You favor shipping an MVP quickly, measuring impact, and iterating-over striving for perfect academic proofs that never see production. Ownership Mentality: You treat the startup as your own: you take responsibility for system uptime, data integrity, and feature adoption, not just model accuracy. Collaborative Attitude: You value cross-functional teamwork and can pivot between researcher mode and software engineer mode depending on the task at hand. Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. What We Offer Equity Package: Meaningful ownership stake, commensurate with an early leadership role. Competitive Compensation: Salary aligned with early-stage startup benchmarks; a large portion of the upside is in equity. Autonomy & Impact: You'll shape the technical direction of our AI stack and lay the groundwork for a market-leading product. Flexible Work Environment: Remote-friendly with occasional in-person retreats or team meetups. Learning Budget: Funds for conferences, courses, or publications to ensure you stay at the bleeding edge. Fast-Track Growth: As our first AI hire and eventual team leader, you'll rapidly expand your responsibilities-and the team you build-within months. How to Apply Please send your resume/CV and a brief cover letter with the subject line: Head of AI Application - [Your Name] In your cover letter, highlight: 1. A recent project where you built and deployed an AI/ML system end-to-end (include technical stack and impact). 2. Any leadership or mentoring experience guiding other engineers or data scientists. 3. Why you're excited to join a stealth startup and move quickly from prototype to production. We will review applications on a rolling basis and aim to schedule initial calls within two weeks of receipt. Equal Opportunity: We are committed to building a diverse team and welcome applicants of all backgrounds. We celebrate differences and encourage individuals who thrive in a fast-paced, collaborative, and impact-driven culture to apply. Ready to build world-class AI from day one? Come join us and help shape the future.

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