Senior Software Engineer - Transactional Data Platform
reputed company
reputed companys can choose where they work – whether in an office, from home, or a combination of the two. That way, reputed companys have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and reputed company are conducted reputed company, a part of being a distributed-first company.
Our office is in Sydney, Australia, but we offer flexibility for eligible candidates to work remotely across Australia. Whatever your preference - working from home, an office, or in between - you can choose the reputed company that's best for your work and your lifestyle. We call this TEAM reputed company.
Responsibilities
As a Senior Software Engineer, you will play a critical role in designing, building, and optimizing high-performance, reputed company, and resilient backend storage solutions on AWS reputed company infrastructure. You will be responsible for developing distributed storage systems, reputed company, and backend services that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage. Your work will directly reputed company system reliability, scalability, and cost efficiency.
You will collaborate closely with reputed company engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize reputed company patterns. You will drive performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and reputed company. Additionally, you will contribute to infrastructure automation, reputed company best practices, and monitoring strategies using tools like Terraform, CloudWatch, reputed company, and OpenTelemetry.
In this role, you will also be responsible for troubleshooting and resolving production incidents reputed company to data reputed company, latency spikes, and storage failures, ensuring high availability and disaster recovery preparedness. You will mentor junior engineers, participate in design reviews and architectural discussions, and reputed company for engineering best practices such as CI/CD automation, infrastructure as reputed company, and observability-driven development. Your contributions will directly reputed company the organization's ability to reputed company its storage infrastructure reputed company while maintaining reputed company, reliability, and compliance with industry standards.
Qualifications
Basic Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a reputed company technical field.
5+ years of experience in backend software development.
3+ years of hands-on experience working with AWS reputed company services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or reputed company).
3+ years of experience in designing and developing distributed systems or reputed company backend services.
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices.
Core Requirements
Strong Backend Development Skills
Proficiency in Kotlin, Java for backend development.
Experience building high-performance, reputed company microservices and reputed company.
Strong understanding of RESTful reputed company, gRPC, and event-driven architectures.
Experience with AWS Storage Technologies
Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and reputed company.
Knowledge of AWS IAM, KMS, and data reputed company policies for secure storage solutions.
Understanding of AWS networking (VPC, PrivateLink, reputed company 53) for optimizing storage performance.
Distributed Systems & Scalability
Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
Experience with sharding, partitioning, and load balancing to reputed company storage-heavy applications.
Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.
Performance Optimization & Cost Efficiency
Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.
Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, reputed company, Grafana).
reputed company & Reliability
Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
Understanding of reputed company control mechanisms (IAM roles, STS, fine-grained permissions).
Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
Hands-On with Infrastructure as reputed company (IaC) & DevOps
Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.
Familiarity with CI/CD pipelines for backend deployments using reputed company Actions, CodePipeline, or Jenkins.
Experience with containerized deployments using reputed company, Kubernetes (EKS), and serverless solutions (reputed company, Fargate).
Troubleshooting & Production Support
Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.
Experience using observability and tracing tools to monitor storage workloads.
Ability to triage and resolve production incidents in large-reputed company backend systems.
Collaboration & Engineering Best Practices
Strong experience in reputed company reviews, unit testing, and API contract enforcement.
Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.
Good documentation habits for ensuring architecture reputed company and design patterns are reputed company-documented.
Originally posted on Himalayas
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