Enterprise - Cloud Senior Software Engineer - AWS, Python, Java

Description

• Lead a small cloud-focused software development team, providing technical direction, mentoring, and day-to-day coordination of work.
• Design, develop, maintain, and enhance complex and diverse software systems based on documented requirements, using modern cloud-native and microservices architectures.
• Own features end to end: requirements analysis, design, implementation, automated testing, deployment, and operational support in cloud environments (AWS/HCI).
• Build distributed applications, APIs, and data-intensive services using containers and Kubernetes-based orchestration.
• Apply sound software engineering practices (code reviews, CI/CD, automated testing, monitoring, logging) to deliver robust, scalable, and secure systems.
• Contribute to system-level design, including hardware/software tradeoffs, software reuse strategies, and effective use of COTS/GOTS components versus new development.
• Perform requirements analysis and synthesis from system level down to individual services and modules.
• Build and run simulations and test harnesses in development and test environments to validate behavior, performance, and reliability.
• Troubleshoot complex issues across application, data, and infrastructure layers; profile and optimize performance in distributed systems.
• Collaborate closely with product owners, system engineers, and other stakeholders to refine requirements, prioritize work, and deliver incremental value.
• Foster a culture of continuous improvement, experimentation, and learning within the team, staying current with cloud, Dev Ops, and data engineering best practices.

A current Top-Secret/SCI with FS polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Fourteen (14) years’ of relevant experience in software engineering, modernization, or solution architecture. Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or an equivalent combination of education, training, and experience.

• Cloud platforms:
  • Experience designing, deploying, and operating workloads in AWS and/or hyper-converged infrastructure (HCI).
• Programming:
  • Proficiency in Python for backend services, automation, and tooling.
  • Strong Java skills for scalable, distributed services.
• Web and API development:
  • Experience building RESTful services and modern web front ends using JavaScript frameworks such as React.
• Containers & orchestration:
  • Hands‑on experience with containers (Podman and/or Docker) and Kubernetes for deployment, scaling, and management of microservices.
• Data & big data frameworks:
  • Experience with Hadoop and related ecosystem components in distributed data processing scenarios.
• Microservices:
  • Proven experience designing, building, and operating microservice‑based architectures (service boundaries, APIs, observability, resilience patterns).
• Experience with Two or More of the Following:
  • Data processing paradigms: machine learning pipelines, streaming data processing, and batch processing workflows.
  • Data stores and caching:
    Mongo
    
    DB, Arango
    
    DB, Redis, Postgre
    
    SQL (modeling, performance tuning, and operations in cloud environments).

• Experience with AWS Elastic Map Reduce (EMR) or similar managed big data services for large‑scale processing.
• Familiarity with CI/CD tools and infrastructure-as-code (e.g., Terraform, Cloud Formation, or similar).
• Monitoring/observability stacks (e.g., Cloud Watch, Prometheus, ELK).

Expected salary range: $215,000 - $245,000.

• Wealth Benefits
  • Above market hourly pay.
  • 11% Roth or Traditional 401(k) with immediate vesting and deposit.
  • Spot bonuses for assisting with business development and company growth.
  • Professional development bonuses for certificates and degrees.
• Health Benefits
  • Company‑subsidized medical coverage.
  • 100% company‑paid vision and dental coverage.
  • 100% company‑paid long‑term disability, short‑term disability, and group life insurance.
  • Monthly wellness reimbursement.
• Happiness Benefits
  • Paid time off with flexible work schedules and birthday off.
  • Amazon Prime membership and monthly internet reimbursement.
  • Technology and productivity allowance for equipment and supplies.
  • Morale building and company events to celebrate our successes and build our community.
  • Onboarding and annual swag.
  • Company‑paid professional development and training.

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal‑opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.