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Description and Requirements
"At BMC trust is not just a word - it's a way of life!"
We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud!
We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation!
The Control-M product line is BMC’s orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies, conducting innovative Just Do It marathons, thinking about new features to add and investing in our employee training programs! We are seeking a skilled Cloud Data Platform Engineer to join our team and help develop and maintain a high scale, fully serverless cloud data platform.
Our product ingests and processes large volumes of data into Amazon S3 using a modern architecture based on AWS serverless services and enables powerful querying and analytics through Amazon Athena. In this role, you’ll work on a system that combines streaming ingestion (Firehose), data lake technologies (Parquet, Apache Iceberg), scalable storage (S3), event-driven processing (Lambda, EventBridge), fast access databases (DynamoDB), and robust APIs (Spring Boot microservices on EC2). Your role will involve designing, implementing, and improving the data processing pipeline and platform services.
Key Responsibilities:
* Design, build, and maintain serverless data processing pipelines using AWS Lambda, Firehose, S3, and Athena.
* Optimize data storage and querying performance using Parquet and Iceberg formats.
* Manage and scale event-driven workflows using EventBridge and Lambda.
* Work with DynamoDB for fast, scalable key-value storage.
* Develop and maintain Java Spring Boot microservices deployed on EC2 instances.
* Ensure observability, monitoring, and fault-tolerance across the system.
* Collaborate with DevOps, Data Engineering, and Product teams to design scalable, cost-effective cloud solutions.
* Maintain security best practices in a cloud-native environment.
Requirements:
* 3+ years of experience in backend/cloud engineering with AWS.
* 5+ years of Java backend development experience.
* 3+ years of Python development.
* Strong hands-on experience with AWS services: Lambda, S3, K8S.
* Deep understanding of data lake architectures and formats such as Parquet and Iceberg.
* Proficiency in Spring Boot and working experience with microservices.
* Experience with high-scale, event-driven systems and serverless patterns.
Nice to Have:
* Solid understanding of distributed systems, performance tuning, and cost-optimization in cloud environments with Kafka for data streaming.
* Familiarity with CI/CD and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
* Experience with observability tools (e.g., CloudWatch, OpenTelemetry).
* Experience working in a global enterprise software company.
Our commitment to you!
BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, you’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experiences to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.
We use AI technology to support parts of our recruitment process, but people—not algorithms—make all final hiring decisions. AI may assist with tasks like scheduling, screening for role alignment, or helping us manage large volumes of applications more efficiently. However, candidates are reviewed by a member of our recruitment team, and interviews and hiring decisions are always made by people. We’re committed to ensuring that technology enhances fairness, efficiency, and the candidate experience—never replaces genuine human judgment.
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