A-Line Staffing Solutions LLC
Lansing, Michigan
Title: Software Solutions Architect Location: Lansing, MI (2-days onsite, 3-days remote Hybrid Schedule) Note: This is a W2 contract role - this role is NOT open to C2C, 1099, or 3 rd party candidates We are seeking an experienced Solutions Architect to design and deliver scalable, cloud-native solutions using microservices and event-driven architectures. The role focuses on building resilient distributed systems, enabling enterprise modernization, and driving high-quality technical delivery across platforms. Job Responsibilities: Design end-to-end architecture for scalable microservices and distributed systems Drive monolith to microservices modernization using DDD and API-first principles Architect event-driven systems using platforms like Apache Kafka, RabbitMQ, and IBM MQ Define and govern API contracts (REST, OpenAPI, gRPC) and integration patterns Implement resilience patterns (circuit breaker, retries, DLQ, saga orchestration) Design cloud-native solutions on Microsoft Azure and Amazon Web Services Lead containerization using Docker and orchestration with Kubernetes / Red Hat OpenShift Establish CI/CD pipelines and DevOps practices (Azure DevOps, Jenkins, GitHub) Design data pipelines, migration, and real-time integration solutions Ensure NFRs, including scalability, performance, security (OAuth2, mTLS), and reliability Implement observability, logging, monitoring, tracing (Slunk, Dynatrace, AppDynamics) Provide technical leadership, architecture governance, and design reviews Job Qualifications: 10+ years of experience in software engineering and solution architecture roles 7+ years of demonstrated experience designing and implementing microservices and event-driven architectures 7+ years of strong expertise with Java and Spring Boot (or similar frameworks), RESTful APIs, and distributed systems 7+ years of hands-on experience working with cloud platforms such as AWS and/or Azure, including Docker and Kubernetes Proven experience with Kafka or other messaging platforms, including enterprise integration patterns Solid understanding and practical application of DDD, CQRS, Saga patterns, and API design best practices Experience with Kafka / messaging systems and integration patterns Solid understanding of DDD, CQRS, Saga, and API design Experience supporting large-scale enterprise or government environments preferred Experience working with data platforms and ETL/ELT pipelines preferred Hands-on development experience is a plus to support technical decision-making and solutio guidance preferred A minimum of a Bachelor's Degree in Information Technology or other relevant field; AWS Certified Solutions Architect and/or Microsoft Azure Solutions Architect Expert Certification preferred Note: This is a W2 contract role - this role is NOT open to C2C, 1099, or 3 rd party candidates .
Title: Software Solutions Architect Location: Lansing, MI (2-days onsite, 3-days remote Hybrid Schedule) Note: This is a W2 contract role - this role is NOT open to C2C, 1099, or 3 rd party candidates We are seeking an experienced Solutions Architect to design and deliver scalable, cloud-native solutions using microservices and event-driven architectures. The role focuses on building resilient distributed systems, enabling enterprise modernization, and driving high-quality technical delivery across platforms. Job Responsibilities: Design end-to-end architecture for scalable microservices and distributed systems Drive monolith to microservices modernization using DDD and API-first principles Architect event-driven systems using platforms like Apache Kafka, RabbitMQ, and IBM MQ Define and govern API contracts (REST, OpenAPI, gRPC) and integration patterns Implement resilience patterns (circuit breaker, retries, DLQ, saga orchestration) Design cloud-native solutions on Microsoft Azure and Amazon Web Services Lead containerization using Docker and orchestration with Kubernetes / Red Hat OpenShift Establish CI/CD pipelines and DevOps practices (Azure DevOps, Jenkins, GitHub) Design data pipelines, migration, and real-time integration solutions Ensure NFRs, including scalability, performance, security (OAuth2, mTLS), and reliability Implement observability, logging, monitoring, tracing (Slunk, Dynatrace, AppDynamics) Provide technical leadership, architecture governance, and design reviews Job Qualifications: 10+ years of experience in software engineering and solution architecture roles 7+ years of demonstrated experience designing and implementing microservices and event-driven architectures 7+ years of strong expertise with Java and Spring Boot (or similar frameworks), RESTful APIs, and distributed systems 7+ years of hands-on experience working with cloud platforms such as AWS and/or Azure, including Docker and Kubernetes Proven experience with Kafka or other messaging platforms, including enterprise integration patterns Solid understanding and practical application of DDD, CQRS, Saga patterns, and API design best practices Experience with Kafka / messaging systems and integration patterns Solid understanding of DDD, CQRS, Saga, and API design Experience supporting large-scale enterprise or government environments preferred Experience working with data platforms and ETL/ELT pipelines preferred Hands-on development experience is a plus to support technical decision-making and solutio guidance preferred A minimum of a Bachelor's Degree in Information Technology or other relevant field; AWS Certified Solutions Architect and/or Microsoft Azure Solutions Architect Expert Certification preferred Note: This is a W2 contract role - this role is NOT open to C2C, 1099, or 3 rd party candidates .
Digital Technology Solutions
DTS is looking for Java Solution Architect for our direct client position in Lansing, MI Top Skills & Years of Experience: 10+ years of experience in software engineering and solution architecture roles 7+ years of demonstrated experience designing and implementing microservices and event driven architectures 7+ years of strong expertise with Java and Spring Boot (or similar frameworks), RESTful APIs, and distributed systems 7+ years of hands on experience working with cloud platforms such as AWS and/or Azure, including Docker and Kubernetes Proven experience with Kafka or other messaging platforms, including enterprise integration patterns Solid understanding and practical application of DDD, CQRS, Saga patterns, and API design best practices Role description: Job Summary: We are seeking an experienced Solution Architect to design and deliver scalable, cloud-native solutions using microservices and event-driven architectures. The role focuses on building resilient distributed systems, enabling enterprise modernization, and driving high-quality technical delivery across platforms. Job Responsibilities: Design end-to-end architecture for scalable microservices and distributed systems Drive monolith to microservices modernization using DDD and API-first principles Architect event-driven systems using platforms like Apache Kafka, RabbitMQ, and IBM MQ Define and govern API contracts (REST, OpenAPI, gRPC) and integration patterns Implement resilience patterns (circuit breaker, retries, DLQ, saga orchestration) Design cloud-native solutions on Microsoft Azure and Amazon Web Services Lead containerization using Docker and orchestration with Kubernetes / Red Hat OpenShift Establish CI/CD pipelines and DevOps practices (Azure DevOps, Jenkins, GitHub) Design data pipelines, migration, and real-time integration solutions Ensure NFRs - Scalability, performance, security (OAuth2, mTLS), and reliability Implement observability (logging, monitoring, tracing - Splunk, Dynatrace, AppDynamics) Provide technical leadership, architecture governance, and design reviews Required Qualifications: 10+ years of experience in software engineering and solution architecture roles 7+ years of demonstrated experience designing and implementing microservices and event driven architectures 7+ years of strong expertise with Java and Spring Boot (or similar frameworks), RESTful APIs, and distributed systems 7+ years of hands on experience working with cloud platforms such as AWS and/or Azure, including Docker and Kubernetes Proven experience with Kafka or other messaging platforms, including enterprise integration patterns Solid understanding and practical application of DDD, CQRS, Saga patterns, and API design best practices Experience with Kafka / messaging systems and integration patterns Solid understanding of DDD, CQRS, Saga, and API design Preferred Qualifications Experience supporting large scale enterprise or government environments AWS Certified Solutions Architect and/or Microsoft Certified: Azure Solutions Architect Expert Experience working with data platforms and ETL/ELT pipelines Hands on development experience is a plus to support technical decision making and solution guidance Additional Notes: Program Oversight: Provide oversight and coordination across the Child Support program, ensuring alignment across initiatives and project efforts Initial Ramp Up: Participate in shadowing and knowledge transfer during the first few weeks to gain familiarity with systems, processes, and stakeholders Cross Project Support: Work within a large team of 100+ employees, with flexibility to support and move between multiple projects as needed DTS offers excellent compensation package. Contact Kapil Sharma Team Lead Digital Technology Solutions
DTS is looking for Java Solution Architect for our direct client position in Lansing, MI Top Skills & Years of Experience: 10+ years of experience in software engineering and solution architecture roles 7+ years of demonstrated experience designing and implementing microservices and event driven architectures 7+ years of strong expertise with Java and Spring Boot (or similar frameworks), RESTful APIs, and distributed systems 7+ years of hands on experience working with cloud platforms such as AWS and/or Azure, including Docker and Kubernetes Proven experience with Kafka or other messaging platforms, including enterprise integration patterns Solid understanding and practical application of DDD, CQRS, Saga patterns, and API design best practices Role description: Job Summary: We are seeking an experienced Solution Architect to design and deliver scalable, cloud-native solutions using microservices and event-driven architectures. The role focuses on building resilient distributed systems, enabling enterprise modernization, and driving high-quality technical delivery across platforms. Job Responsibilities: Design end-to-end architecture for scalable microservices and distributed systems Drive monolith to microservices modernization using DDD and API-first principles Architect event-driven systems using platforms like Apache Kafka, RabbitMQ, and IBM MQ Define and govern API contracts (REST, OpenAPI, gRPC) and integration patterns Implement resilience patterns (circuit breaker, retries, DLQ, saga orchestration) Design cloud-native solutions on Microsoft Azure and Amazon Web Services Lead containerization using Docker and orchestration with Kubernetes / Red Hat OpenShift Establish CI/CD pipelines and DevOps practices (Azure DevOps, Jenkins, GitHub) Design data pipelines, migration, and real-time integration solutions Ensure NFRs - Scalability, performance, security (OAuth2, mTLS), and reliability Implement observability (logging, monitoring, tracing - Splunk, Dynatrace, AppDynamics) Provide technical leadership, architecture governance, and design reviews Required Qualifications: 10+ years of experience in software engineering and solution architecture roles 7+ years of demonstrated experience designing and implementing microservices and event driven architectures 7+ years of strong expertise with Java and Spring Boot (or similar frameworks), RESTful APIs, and distributed systems 7+ years of hands on experience working with cloud platforms such as AWS and/or Azure, including Docker and Kubernetes Proven experience with Kafka or other messaging platforms, including enterprise integration patterns Solid understanding and practical application of DDD, CQRS, Saga patterns, and API design best practices Experience with Kafka / messaging systems and integration patterns Solid understanding of DDD, CQRS, Saga, and API design Preferred Qualifications Experience supporting large scale enterprise or government environments AWS Certified Solutions Architect and/or Microsoft Certified: Azure Solutions Architect Expert Experience working with data platforms and ETL/ELT pipelines Hands on development experience is a plus to support technical decision making and solution guidance Additional Notes: Program Oversight: Provide oversight and coordination across the Child Support program, ensuring alignment across initiatives and project efforts Initial Ramp Up: Participate in shadowing and knowledge transfer during the first few weeks to gain familiarity with systems, processes, and stakeholders Cross Project Support: Work within a large team of 100+ employees, with flexibility to support and move between multiple projects as needed DTS offers excellent compensation package. Contact Kapil Sharma Team Lead Digital Technology Solutions
Sendbird
San Mateo, California
Job DescriptionJob Description Most engineers ship features. You'll ship outcomes, directly in the hands of customers, on live systems, where it actually counts. And you'll do it faster than anyone thought possible. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations-chat, voice, video, messaging APIs-and became the CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack-into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX-built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost-the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel-chat, SMS, email, voice, WhatsApp-without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Software Engineers for our AI Agents? AI agents don't fail in demos. They fail in production, when the edge case hits, the prompt breaks, or the integration misbehaves in front of a real customer. That gap between "it works in the sandbox" and "it works in the wild" is exactly where this role lives. We're deploying AI agents for some of the world's biggest brands. Each one has unique workflows, data, and stakes. We need engineers who can sit across from a customer, understand the problem, and build the solution fast, not hand off a spec and wait. If you treat AI as a core part of your toolkit and not an afterthought, you'll move at the speed this role demands. The Role You'll own the full technical lifecycle of customer AI agent deployments, from first integration to live monitoring, working at the intersection of product, engineering, and customer outcomes. This role is for engineers who use AI to compress timelines, ship higher-quality work, and want their impact felt immediately, not six months from now. You might be this person if: You think in systems - inputs, outputs, failure modes - and you naturally ask "what happens when this breaks?" before anyone else does You've debugged something live, under pressure, with a customer watching, and you didn't flinch You use AI tools daily to prototype, debug, and iterate, and you've figured out how to get 10x the output without cutting corners on quality You read a system prompt the way a compiler reads code, spotting logic gaps, unintended behaviors, and edge cases others miss You've built something end-to-end, frontend to backend to deployment, and you're proud of how it actually held up You learn fastest by building, not by reading docs, and you've shipped something with a new API within days of touching it for the first time You care about what the customer actually experiences, not just whether the tests pass Ambiguity doesn't slow you down. You'd rather build a rough solution and iterate than wait for a perfect brief You need to have: 2-3 years of hands-on software engineering experience in full-stack or backend development Strong Python proficiency and the ability to write clean, maintainable code under real-world constraints Practical experience with React and modern JavaScript/TypeScript on the frontend, plus backend frameworks like Node.js, Django, or Express Hands-on experience with LLM APIs (e.g., OpenAI, Claude) or agent frameworks such as LangChain Familiarity with RAG pipelines, knowledge base integration, and cloud deployment platforms (e.g., AWS Lambda, Vercel, GCP Cloud Functions) What you'll actually do: Deploy production-grade AI agents tailored to each customer's environment, owning setup, configuration, and go-live Tune system prompts and agent behaviors against real-world use cases, using AI-assisted workflows to move from hypothesis to working solution faster than a traditional dev cycle allows Prototype and ship fast, leveraging agentic coding tools to build agent interfaces, dashboards, and backend integrations with Next.js, React, and modern APIs Integrate RAG pipelines and knowledge bases that give agents the context they need to perform Monitor live deployments with logging, metrics, and observability so issues surface before customers notice them Collaborate with Forward Deployed PMs, core product, and design to turn customer needs into working solutions, often building a prototype before the meeting ends Lead technical demos, document implementation decisions, and maintain architecture diagrams that actually reflect reality Added Value Prior experience tuning or debugging AI agent performance in live, production environments - or in a forward deployed setting Background in 0-to-1 builds, customer-facing implementation, or technical consulting, with a track record of navigating the messiness of real deployments What we offer: We take care of the people who build the future. Here's some of what you can expect when you join Sendbird. Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents. Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off. $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more. Parental leave for all new parents. Time to be present for the moments that matter most. 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform. HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses. Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you. Pay Transparency For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $150,000 - $180,000 . This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above. Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees within an hour's commute range of their local office to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not iterating on an existing product. We're building a new category, AI that genuinely delights customers, on top of infrastructure that's already at enterprise scale. This role puts you at the center of that: real customers, real deployments, real impact. If you want to own outcomes and help define what forward-deployed AI engineering looks like, this is the place. Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.
Job DescriptionJob Description Most engineers ship features. You'll ship outcomes, directly in the hands of customers, on live systems, where it actually counts. And you'll do it faster than anyone thought possible. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations-chat, voice, video, messaging APIs-and became the CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack-into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX-built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost-the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel-chat, SMS, email, voice, WhatsApp-without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Software Engineers for our AI Agents? AI agents don't fail in demos. They fail in production, when the edge case hits, the prompt breaks, or the integration misbehaves in front of a real customer. That gap between "it works in the sandbox" and "it works in the wild" is exactly where this role lives. We're deploying AI agents for some of the world's biggest brands. Each one has unique workflows, data, and stakes. We need engineers who can sit across from a customer, understand the problem, and build the solution fast, not hand off a spec and wait. If you treat AI as a core part of your toolkit and not an afterthought, you'll move at the speed this role demands. The Role You'll own the full technical lifecycle of customer AI agent deployments, from first integration to live monitoring, working at the intersection of product, engineering, and customer outcomes. This role is for engineers who use AI to compress timelines, ship higher-quality work, and want their impact felt immediately, not six months from now. You might be this person if: You think in systems - inputs, outputs, failure modes - and you naturally ask "what happens when this breaks?" before anyone else does You've debugged something live, under pressure, with a customer watching, and you didn't flinch You use AI tools daily to prototype, debug, and iterate, and you've figured out how to get 10x the output without cutting corners on quality You read a system prompt the way a compiler reads code, spotting logic gaps, unintended behaviors, and edge cases others miss You've built something end-to-end, frontend to backend to deployment, and you're proud of how it actually held up You learn fastest by building, not by reading docs, and you've shipped something with a new API within days of touching it for the first time You care about what the customer actually experiences, not just whether the tests pass Ambiguity doesn't slow you down. You'd rather build a rough solution and iterate than wait for a perfect brief You need to have: 2-3 years of hands-on software engineering experience in full-stack or backend development Strong Python proficiency and the ability to write clean, maintainable code under real-world constraints Practical experience with React and modern JavaScript/TypeScript on the frontend, plus backend frameworks like Node.js, Django, or Express Hands-on experience with LLM APIs (e.g., OpenAI, Claude) or agent frameworks such as LangChain Familiarity with RAG pipelines, knowledge base integration, and cloud deployment platforms (e.g., AWS Lambda, Vercel, GCP Cloud Functions) What you'll actually do: Deploy production-grade AI agents tailored to each customer's environment, owning setup, configuration, and go-live Tune system prompts and agent behaviors against real-world use cases, using AI-assisted workflows to move from hypothesis to working solution faster than a traditional dev cycle allows Prototype and ship fast, leveraging agentic coding tools to build agent interfaces, dashboards, and backend integrations with Next.js, React, and modern APIs Integrate RAG pipelines and knowledge bases that give agents the context they need to perform Monitor live deployments with logging, metrics, and observability so issues surface before customers notice them Collaborate with Forward Deployed PMs, core product, and design to turn customer needs into working solutions, often building a prototype before the meeting ends Lead technical demos, document implementation decisions, and maintain architecture diagrams that actually reflect reality Added Value Prior experience tuning or debugging AI agent performance in live, production environments - or in a forward deployed setting Background in 0-to-1 builds, customer-facing implementation, or technical consulting, with a track record of navigating the messiness of real deployments What we offer: We take care of the people who build the future. Here's some of what you can expect when you join Sendbird. Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents. Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off. $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more. Parental leave for all new parents. Time to be present for the moments that matter most. 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform. HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses. Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you. Pay Transparency For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $150,000 - $180,000 . This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above. Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees within an hour's commute range of their local office to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you. Why Sendbird We're not iterating on an existing product. We're building a new category, AI that genuinely delights customers, on top of infrastructure that's already at enterprise scale. This role puts you at the center of that: real customers, real deployments, real impact. If you want to own outcomes and help define what forward-deployed AI engineering looks like, this is the place. Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.
Axelon Services Corporation
Malvern, Pennsylvania
Job Title: Senior Software Engineer Location: Malvern, PA Pay: Competitive Salary Job Responsibilities: Acts as the technical coach for a team or domain, being recognized and approached by team members for expertise and guidance, ensures consistent application of best practices and high standards across projects. Sets quality goals and development practices with the team, driving continuous improvement and excellence in software development through rigorous standards and methodologies. Integrates software components and third-party libraries into existing systems, ensuring seamless functionality and interoperability with minimal disruption. Conducts and participates in code reviews, providing constructive feedback to peers and ensuring adherence to coding standards and best practices to maintain code quality. Analyzes and optimizes application performance, identifying and resolving bottlenecks to enhance user experience and system efficiency, ensuring the software meets performance benchmarks. Stays current with emerging technologies and industry trends, incorporating new tools and methodologies to improve development processes and product quality. Develops software to log and store performance data, usage, errors, etc., enabling continuous monitoring of solutions and products for improved reliability and performance. Collaborates with cross-functional teams, including product managers, designers, and QA engineers, to define, design, and ship new features, ensuring alignment with project goals and user needs. Resolves a wide range of moderate complexity requests in creative ways, demonstrating good judgment in selecting methods and techniques for obtaining solutions. Key Responsibilities: Design, develop, and maintain Java-based microservices using Spring Boot and Java 17. Lead and contribute to secure coding practices following OWASP standards and regulatory needs (HIPAA, medical device software). Integrate with internal and external APIs using REST and GraphQL. Participate in Test-Driven Development (TDD) and help expand test automation coverage. Implement and support CI/CD pipelines using GitHub Actions and Jenkins. Build and deploy services to AWS EKS; leverage AWS services such as Cognito, CloudWatch, Secrets Manager, and X-Ray. Collaborate with DevOps, QA, and Product teams using Azure DevOps for sprint planning, work tracking, and test plans. Perform code reviews and mentor junior developers. Support observability efforts using tools like Datadog, Prometheus, and Grafana. Work within Agile teams to deliver features aligned with business objectives. Contribute to continuous improvement, architectural decisions, and design discussions. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5 years of hands-on experience in Java (17) and Spring Boot application development. Solid understanding of microservices architecture and secure RESTful API design. Strong experience with Git, Maven, Jenkins, and GitHub Actions. Proficiency in CI/CD and test automation. Experience working in cloud environments, especially AWS. Familiarity with containerization (Docker, EKS/Kubernetes). Excellent debugging, troubleshooting, and code review skills. Comfortable using Azure DevOps for Boards, Test Plans, and documentation. Minimum Required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Master's Degree in Information Technology, Computer Science, Software Engineering or equivalent. Preferred Skills & Tools: Test Automation: JUnit, TestNG, Mockito, Selenium, Cypress, Karate, Rest Assured. API Design: Swagger/OpenAPI, SpringDoc, GraphQL, AWS API Gateway. Messaging & Integration: RabbitMQ, Spring Cloud Stream, Feign, WebClient, Retrofit. Monitoring & Observability: Datadog, Prometheus, Grafana, AWS CloudWatch, X-Ray, ELK/EFK stack. Build & Infra: Maven, Terraform, AWS CDK, Docker, Nexus or Artifactory. Agile & SDLC: Azure DevOps Boards, Jama, Helix ALM, Confluence, Miro.
Job Title: Senior Software Engineer Location: Malvern, PA Pay: Competitive Salary Job Responsibilities: Acts as the technical coach for a team or domain, being recognized and approached by team members for expertise and guidance, ensures consistent application of best practices and high standards across projects. Sets quality goals and development practices with the team, driving continuous improvement and excellence in software development through rigorous standards and methodologies. Integrates software components and third-party libraries into existing systems, ensuring seamless functionality and interoperability with minimal disruption. Conducts and participates in code reviews, providing constructive feedback to peers and ensuring adherence to coding standards and best practices to maintain code quality. Analyzes and optimizes application performance, identifying and resolving bottlenecks to enhance user experience and system efficiency, ensuring the software meets performance benchmarks. Stays current with emerging technologies and industry trends, incorporating new tools and methodologies to improve development processes and product quality. Develops software to log and store performance data, usage, errors, etc., enabling continuous monitoring of solutions and products for improved reliability and performance. Collaborates with cross-functional teams, including product managers, designers, and QA engineers, to define, design, and ship new features, ensuring alignment with project goals and user needs. Resolves a wide range of moderate complexity requests in creative ways, demonstrating good judgment in selecting methods and techniques for obtaining solutions. Key Responsibilities: Design, develop, and maintain Java-based microservices using Spring Boot and Java 17. Lead and contribute to secure coding practices following OWASP standards and regulatory needs (HIPAA, medical device software). Integrate with internal and external APIs using REST and GraphQL. Participate in Test-Driven Development (TDD) and help expand test automation coverage. Implement and support CI/CD pipelines using GitHub Actions and Jenkins. Build and deploy services to AWS EKS; leverage AWS services such as Cognito, CloudWatch, Secrets Manager, and X-Ray. Collaborate with DevOps, QA, and Product teams using Azure DevOps for sprint planning, work tracking, and test plans. Perform code reviews and mentor junior developers. Support observability efforts using tools like Datadog, Prometheus, and Grafana. Work within Agile teams to deliver features aligned with business objectives. Contribute to continuous improvement, architectural decisions, and design discussions. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5 years of hands-on experience in Java (17) and Spring Boot application development. Solid understanding of microservices architecture and secure RESTful API design. Strong experience with Git, Maven, Jenkins, and GitHub Actions. Proficiency in CI/CD and test automation. Experience working in cloud environments, especially AWS. Familiarity with containerization (Docker, EKS/Kubernetes). Excellent debugging, troubleshooting, and code review skills. Comfortable using Azure DevOps for Boards, Test Plans, and documentation. Minimum Required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Master's Degree in Information Technology, Computer Science, Software Engineering or equivalent. Preferred Skills & Tools: Test Automation: JUnit, TestNG, Mockito, Selenium, Cypress, Karate, Rest Assured. API Design: Swagger/OpenAPI, SpringDoc, GraphQL, AWS API Gateway. Messaging & Integration: RabbitMQ, Spring Cloud Stream, Feign, WebClient, Retrofit. Monitoring & Observability: Datadog, Prometheus, Grafana, AWS CloudWatch, X-Ray, ELK/EFK stack. Build & Infra: Maven, Terraform, AWS CDK, Docker, Nexus or Artifactory. Agile & SDLC: Azure DevOps Boards, Jama, Helix ALM, Confluence, Miro.