Software Engineer - AWS Savings Plans Optimization at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

17 Dec, 25

Salary

0.0

Posted On

18 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Savings Plans, Cloud Cost Optimization, Risk Assessment, Data Pipelines, Automated Decision Engines, Financial Risk Management, Cost Explorer API, Usage Pattern Analysis, Reserved Instances, Programming Skills, Anomaly Detection, AI-driven Engineering, Cost and Usage Reports, CloudWatch Metrics, Commitment Strategies, Utilization Forecasting

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer – AWS Savings Plans Optimization in Latin America, South Africa, Germany, Poland, Switzerland. We are seeking a talented Software Engineer to lead the development of a cutting-edge AWS Savings Plans optimization engine. In this role, you will design and implement algorithms for cloud cost optimization, risk assessment, and commitment strategies while managing real-time data pipelines and automated decision engines. You will have a direct impact on large-scale cloud cost efficiency, working in a fast-paced, AI-driven engineering environment that values autonomy, ownership, and rapid iteration. This is an opportunity to work on complex financial and cloud optimization problems, shaping infrastructure that drives measurable savings for clients while contributing to the growth of a high-performing, global engineering team. Accountabilities Design, implement, and maintain the Savings Plans optimization engine powering automated cloud cost reduction. Develop algorithms for commitment strategies, utilization forecasting, and financial risk management. Build and maintain robust data pipelines to process AWS billing and usage data in real time. Create automated decision engines for Reserved Instance and Savings Plans management. Design monitoring and anomaly detection systems to ensure consistent and profitable outcomes. Collaborate closely with a small, AI-native engineering team to ship fast and iterate continuously. Take end-to-end ownership of solutions, from design and implementation to testing and deployment. Deep expertise in AWS Savings Plans: Compute & EC2 Instance Savings Plans, term optimization, and risk management. Strong understanding of AWS billing systems: Cost Explorer API, Cost and Usage Reports (CUR), Billing APIs, CloudWatch cost metrics. Advanced cost modeling and forecasting skills: usage pattern analysis, break-even calculations, and discount rate optimization. Experience optimizing Reserved Instances, including marketplace operations, instance flexibility, and modifications/exchanges. Solid background in financial risk assessment for cloud spend and portfolio balancing. Proven hands-on experience (3+ years) in cloud cost optimization or related domains with direct Savings Plans ownership. Comfortable working in fast-paced, autonomous teams with high ownership and rapid feedback loops. Strong analytical, problem-solving, and programming skills in relevant cloud and data tools. Competitive salary with top-of-market compensation. Participation in a virtual stock option program. Flexible remote work from Latin America, South Africa, Germany, Poland, or Switzerland. Opportunity to work on a category-defining product from scratch. High autonomy, end-to-end ownership, and fast learning cycles. Relocation assistance available if moving to Berlin. Exposure to cutting-edge AI-driven cloud optimization technologies and real-world financial impact. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design and implement a Savings Plans optimization engine for automated cloud cost reduction. Collaborate with an AI-native engineering team to ensure efficient and profitable outcomes.