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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data services, with a strong foundation in Java, Python, or Scala development. Proficient in modern software engineering principles and experienced in deploying applications on cloud platforms like AWS, GCP, or Azure.
Highest-signal resume keywords
Java DevelopmentPython DevelopmentScala DevelopmentMicroservices ArchitectureData Processing Pipelines
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design and implement scalable, high-performance data services for storing, processing, and securely retiring customer data
- Support the Universal Data Hub's reliable, compliant, and cost-efficient data lifecycle management
- Collaborate with senior engineers and product and platform teams on large-scale data systems
- Deliver high-quality solutions with software engineers, architects, DevOps, and Product Managers
- Design, develop, test, and maintain scalable applications using modern frameworks
- Participate in Agile/Scrum planning, estimation, and continuous improvement
- Contribute to architectural design discussions, test planning, and operational excellence initiatives
- Participate in peer code reviews
- Learn and apply technologies and design approaches to improve performance, scalability, and reliability
- Contribute to AI-powered data services and tooling, including LLM-driven services and MCP-based agent tooling
Requirements
What you’ll need- 3+ years of Java, Python, or Scala development experience using modern frameworks
- Solid knowledge of modern software engineering principles, patterns, and best practices
- Understanding of microservices architecture
- Hands-on experience with NoSQL and/or relational databases, including DynamoDB, PostgreSQL, MySQL, Redshift, Redis, or Cassandra
- Experience deploying software on AWS, GCP, or Azure
- Strong communication skills and ability to explain technical concepts
- Hands-on experience building data processing pipelines, ideally with Apache Spark (nice to have)
- Exposure to high-traffic, highly available systems (nice to have)
- Exposure to RabbitMQ, Kinesis, or Kafka (nice to have)
- Familiarity with Docker, Kubernetes, Serverless, or Terraform (nice to have)
- Experience with or strong interest in applied AI/GenAI, LLMs, RAG, prompt engineering, agent tooling, or MCP (nice to have)
Benefits
Comp & perks- Performance-based bonus eligibility
- Equity options / new hire equity grants
- 15 hours of paid work time annually for volunteer activities and programs
- Remote-first working
- New hire stipends for home office equipment
- Paid time off
- Extended paid parental leave
- Company holidays
- Health and wellness programs covering physical, mental, social, and financial well-being
- Professional development opportunities
- Over 6,000 on-demand courses
- Manager and leadership development programs
- Market-competitive health and related benefits programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering PrinciplesNoSQL DatabasesRelational DatabasesData Lifecycle ManagementAgile/Scrum MethodologiesArchitectural DesignApache SparkAI-Powered Data ServicesHigh-Performance Data ServicesData Services Design
Soft Skills
Strong Communication SkillsCollaboration
Tools & Technologies
AWSGCPAzureDockerKubernetesServerlessTerraformRabbitMQKinesisKafka
Industry Keywords
Data ProcessingData ManagementHigh-Traffic SystemsOperational ExcellenceContinuous Improvement