Senior Software Engineer

Eliassen Group; Irving (TX); Hybrid; Confidential; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Software Engineer to design and deliver cloud-native data platforms for omnichannel marketing in Irving, TX. You will set technical direction, define standards, and mentor engineers to build secure, reliable systems using Java, Python, Spark, Angular, and AWS.

Responsibilities include owning the SDLC, collaborating with stakeholders, and driving cost efficiency while ensuring scalable and observable implementations across distributed architectures.

Qualifications

• 5-8 years of software engineering with scalable UX-driven apps and distributed systems.
• Designing and building REST APIs, microservices, and Kubernetes-based distributed systems.
• Data Warehousing/Data Lakes/Delta Lake and modern big data ecosystem concepts.

Responsibilities

• Deliver large-scale cloud-native data platforms on AWS using REST APIs and microservices.
• Collaborate across stack with Java, Python, Spark, Angular, and AWS services.
• Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation.

Skills

REST APIs

Microservices

Cloud-native

Java

Python

Spark

Angular

AWS

Event-driven

Kubernetes

SQL/NoSQL

Terraform

Ansible

Education

B.E./B.Tech/M.Tech/MCA in CS/IT

Tools

Kubernetes

Terraform

Ansible

AWS

Job description

Description:

Hybrid At least 2 days per week in office in Irving, TX

Our client seeks a Senior Software Engineer to design and deliver cloud-native data platforms that enable data-driven, omnichannel marketing. You will define engineering standards, set technical direction, and build secure, reliable systems across Java, Python, Spark, Angular, AWS, and event-driven architectures. You will collaborate with cross-functional stakeholders, own the software development lifecycle, and mentor engineers to ensure scalable, observable, and cost-effective solutions for Customer Data Platform initiatives.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $65.00/hr. w2

Responsibilities:

• Deliver large-scale cloud-native data platforms on AWS using REST APIs, microservices, and event-driven applications for scalable and resilient systems.
• Work across the stack with Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases.
• Drive performance optimization, scalability, reliability, security, governance, and cost efficiency.
• Collaborate with global engineering, product management, architecture, and business stakeholders to align technical solutions with objectives.
• Own the end-to-end SDLC including requirements, design, development, deployment, observability, and documentation.

Experience Requirements:

• 5-8 years of software engineering with expertise in scalable UX-driven applications and distributed systems.
• Designing and building REST APIs, microservices, and Kubernetes-based distributed systems.
• Data Warehousing, Data Lakes, Delta Lake, and modern big data ecosystem designs.
• Hands-on Python, Java, and Angular with knowledge of object-oriented and functional patterns.
• PySpark and Apache Spark for high-performance distributed data processing.
• Microservices development with Kubernetes for eventing and serving.
• AWS services including S3, Lambda, API Gateway, and EventBridge.
• Messaging and event-driven tech such as Kafka, SNS, SQS, plus relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
• Infrastructure as Code with Terraform and Ansible.
• CI/CD and DevOps using Jenkins, GitHub/GitLab, Bitbucket, and GoCD with automated pipelines.
• Robust testing practices including unit, integration, and regression testing.
• Strong analytical skills for diagnosing and resolving complex technical problems.
• Exposure to Generative AI, including LLMs, RAG, and agentic systems.
• Nice to have: PySpark with Databricks, Azure and/or GCP, and experience in privacy-safe CDPs or MarTech environments.

Education Requirements:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or related field.