Sr. Software Engineer W2 Role Hybrid In Wakefield, MA::Need Local Only
G-Tech Medical · Wakefield, MA
CONTRACT
Posted Sep 9, 2026
Job Description
Responsibilities
- Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, micro services and event driven applications to build highly scalable and resilient systems.
- Work hands-on across the technology stack - including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence.
- Drive performance optimization, scalability, reliability, security, governance, and cost efficiency.
- Collaborate and develop closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives.
- Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.
Qualifications
- B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
- 5-8 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architecture.
- Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
- Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
- Strong hands-on expertise in Python, Java, Angular and well-versed with Object oriented design patterns and Functional programming.
- Experience in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
- Depth in Micro-services development with Kubernetes containerization for eventing and serving.
- Experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platforms.
- Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
- Understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines.
- Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
- Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
- Exposure and Awareness about Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.
Nice To Have
- Working knowledge of PySpark with Databricks.
- Experience working with Azure and/or Google Cloud Platform (GCP).
- Experience building data platforms in privacy-safe or Customer Data Platforms and Marketing Technology environments.
- Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, micro services and event driven applications to build highly scalable and resilient systems.
- Work hands-on across the technology stack - including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence.
- Drive performance optimization, scalability, reliability, security, governance, and cost efficiency.
- Collaborate and develop closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives.
- Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.
Qualifications
- B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
- 5-8 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architecture.
- Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
- Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
- Strong hands-on expertise in Python, Java, Angular and well-versed with Object oriented design patterns and Functional programming.
- Experience in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
- Depth in Micro-services development with Kubernetes containerization for eventing and serving.
- Experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platforms.
- Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
- Understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipelines.
- Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
- Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
- Exposure and Awareness about Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.
Nice To Have
- Working knowledge of PySpark with Databricks.
- Experience working with Azure and/or Google Cloud Platform (GCP).
- Experience building data platforms in privacy-safe or Customer Data Platforms and Marketing Technology environments.
Additional Details
- City
- Wakefield
- State
- Massachusetts
- Country
- US
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