Junior/Mid Software Engineer

Bond-Pro

. Work independently within an Agile team and take ambiguous requirements from concept to production .

Posted 9/22/2026full-timeRemote • Florida • United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Agile methodologies, including Scrum, and possesses strong skills in designing and implementing microservices architectures and big data solutions. Proficient in handling various data formats and collaborating with UI/UX teams to ensure effective interface design.

Highest-signal resume keywords

Agile MethodologiesMicroservices ArchitectureBig Data TechnologiesData Layer DesignCloud Platforms

ATS Keywords

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Hard Skills

ScrumMicroservicesBig DataData FormatsDesign PatternsAPI ContractsRelational DatabasesNoSQL DatabasesCloud ComputingProgramming Languages

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AWSAzureGoogle Cloud PlatformSparkKafkaHadoopJSONCSVAvroUI/UX Design

Industry Keywords

Agile TeamBacklog RefinementCapacity EstimationService DecompositionData PartitioningStreaming PipelinesProofs of ConceptSeparation of ConcernsCloud-Native PatternsMulti-Cloud Exposure

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopJavaJavaScriptKafkaKotlinMicroservicesNode.jsNoSQLPythonRustScalaSparkSQLTypeScriptGo

About the role

Key responsibilities & impact

Work independently within an Agile team and take ambiguous requirements from concept to production
Participate in the full Scrum/Agile sprint cycle, including backlog refinement, sprint planning, capacity estimation, daily standups, sprint review, and retrospectives
Participate in requirement refinement sessions with product owners and stakeholders, turning ambiguous requests into well-scoped, estimable stories
Apply modern software design patterns and enforce separation of concerns across the codebase
Design and build proofs of concept to validate new approaches before full implementation
Design and implement systems handling structured, semi-structured, unstructured, and schema-bound data formats, including CSV, relational data, JSON, and Avro
Contribute to big data architecture and design patterns, including batch and/or streaming pipelines, data partitioning, and scalable processing approaches
Collaborate with UI/UX on interface design decisions and align frontend implementation with usability and design intent
Design and build microservices architectures, including service decomposition, inter-service communication, API contracts, and independent deployability
Design data layers and persistence solutions across relational and NoSQL databases
Work with cloud compute, storage, and managed data services

Requirements

What you’ll need

Currently residing in the state of Florida; preferably in the greater Tampa/St. Petersburg area
1 to 5 years of experience
Proven experience working in Scrum/Agile teams, including sprint planning, capacity estimation, and iterative delivery
Strong grasp of modern design patterns, including strategy, factory, repository, and observer, and the separation of concerns principle
Experience with UI/UX collaboration and requirement refinement
Hands-on experience with structured, semi-structured, unstructured, and schema-based data formats, including CSV, JSON, and Avro
Big data technology experience, such as Spark, Kafka, Hadoop ecosystem, or equivalent, and associated design patterns
Demonstrated experience building and validating proofs of concept
Experience designing and building microservices architectures, including service decomposition, inter-service communication, API contracts, and independent deployability
Strong understanding of data layer and persistence design patterns, including repository pattern, unit of work, CQRS, data access layer abstraction, ORM versus raw query tradeoffs, caching strategies, and relational SQL and NoSQL database design
Experience with cloud platforms, including AWS, Azure, or Google Cloud Platform, with core compute, storage, and managed data services on at least one major provider
Proficiency in one or more modern languages beyond the primary stack is desirable, including Python, Scala, Go, Java, Kotlin, Rust, TypeScript/Node.js, or C#
Multi-cloud exposure across AWS, Azure, and GCP and familiarity with cloud-native patterns is desirable