Senior Software Developer – Data Analytics

Caseware

Senior Software Developer driving the design and development of cloud data analytics solutions at Caseware. Leading a team to enhance financial audit software globally.

Posted 7/22/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Java 17+ and Spring Boot for developing enterprise SaaS applications on AWS, with a strong focus on cloud-native data analytics platforms and system design. Capable of providing mentorship, driving architectural decisions, and ensuring production reliability through effective collaboration and continuous improvement practices.

Highest-signal resume keywords

Java 17+ (Spring Boot)Microservice ArchitectureCloud-Native Data Analytics PlatformsSystem Design ExpertiseCI/CD Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Java 17+Spring BootMicroservice ArchitectureCloud-Native DevelopmentData Analytics PlatformsDistributed SystemsEvent-Driven ArchitecturesLarge-Scale Data ProcessingAI-Powered ToolsProduction Support

Soft Skills

MentorshipCollaborationCommunicationProblem-SolvingInfluencing Architectural Direction

Tools & Technologies

AWSCI/CD ToolsDevOps ToolsCloudOps Tools

Industry Keywords

Enterprise SaaSTechnical DiscoverySystem DesignOperational PracticesPost-MortemsRoot Cause Analysis

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsJavaSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design and build key features and architectural improvements end-to-end — from technical discovery and system design through implementation, testing, and production support.
Write production code daily in critical services, pipelines, and frameworks, using modern cloud-native patterns and technologies.
Provide mentorship to the other developers on your team through design reviews, pair programming, and code reviews.
Build deep expertise in the technology and architecture powering the Data Analytics Platform and use that knowledge to drive sound technical decisions.
Collaborate with Product and Engineering to disambiguate requirements, surface technical uncertainty, and clearly communicate trade-offs and risks.
Champion engineering excellence by keeping trunk/master green, stable, and deployable through strong CI/CD, testing, and operational practices.
Coordinate with DevOps/CloudOps teams to ensure your squad has the tooling, infrastructure, and support needed to ship confidently.
Own production reliability for the systems your squad manages, driving continuous improvement through post-mortems and root cause analysis.
Provide 24/7 production support for the systems your team manages, driving continuous improvement in this area through post-mortems and root cause analysis.

Requirements

What you’ll need

5+ years hands-on experience with Java 17+ (Spring Boot), microservice architecture, and developing enterprise SaaS applications on AWS.
Extensive experience building and evolving cloud-native, data analytics platforms in production.
Strong system design expertise, particularly in distributed systems, event-driven architectures, and large-scale data processing.
Deep knowledge of analytics workflows, with an eye toward performance and correctness.
An AI-native mindset — you instinctively reach for AI-powered tools and techniques as a first approach to problem-solving, planning, design, troubleshooting, code generation, debugging, and knowledge discovery.
Proven ability to influence architectural direction, drive alignment across teams, and lead initiatives beyond your immediate scope.
Comfort operating in ambiguity, with the ability to make sound technical decisions and clearly communicate risks and trade-offs.

Benefits

Comp & perks

¨Contrato a termino Indefinido¨ with all the legal benefits
Prepaid Medicine
Life insurance and funeral assistance
Internet allowance
Home office stipend
Competitive compensation — above the market average
100% remote work environment and an excellent work-life balance
Opportunity to work for a growing global SaaS leader company
A culture that promotes independence, innovation, trust, and accountability
Open space to be creative, innovative and strategize for the future
Mentorship by highly experienced professional
Budget for training, we want you to grow
5 Personal Time Off days per year
Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90.
Recognition Award, additional paid time off in recognition of the corresponding year of service
Upgrade vacation starting at 5 years of service
AI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working.