Senior Software Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oportun

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

🛡️ Insurance

💳 Fintech

Consulting • Insurance • Fintech

Oportun is a financial technology company that specializes in providing affordable personal loans and savings solutions. They are recognized as Bankrate's #1 app for saving money in 2024. Oportun offers personal loans ranging from $300 to $10,000 for various financial needs such as bills, repairs, and deposits, with quick funding and affordable payments. The company provides a unique app that helps users manage their loans and saves money intelligently. Oportun also focuses on financial education and offers tools like loan calculators and prequalification services, which do not impact credit scores. Although Oportun is not a bank, they ensure deposits are FDIC insured through partner banks.

📋 Description

• Lead the design, implementation, deployment, and operation of complex platform capabilities supporting the machine-learning lifecycle • Design scalable systems for model deployment and serving, feature computation, data validation, workflow orchestration, monitoring, and production support • Build reusable platform components, standards, and automation while improving reliability, scalability, observability, and operational readiness across ML systems • Partner with Data Science, Product, Risk, Fraud, and Engineering teams to translate ambiguous business needs into practical technical solutions • Own significant technical initiatives end to end and lead complex production investigations • Clarify requirements, lead design, deliver safely, measure results, and implement durable fixes • Raise engineering quality through code and design reviews, mentor engineers through pairing and technical guidance, and contribute to platform technical strategy • Use AI tools thoughtfully to reduce manual work and make better decisions faster

🎯 Requirements

• 5+ years of professional software-engineering experience building and operating production systems • Strong programming skills in Python • Deep knowledge of API design, distributed systems, service architecture, testing, and software-design fundamentals • Experience designing and operating reliable, scalable cloud-native services or data-intensive systems • Experience in ML platforms, model serving, feature engineering, data platforms, MLOps, or related systems • Practical experience with SQL, databases, caching, and tracing data or requests across multiple systems • Familiarity with the ML lifecycle from feature engineering and model training through evaluation, deployment, serving, monitoring, and governance • Experience with Docker, Kubernetes, CI/CD, Git-based workflows, and production observability • Ability to evaluate technical alternatives and clearly communicate recommendations, trade-offs, risks, and dependencies • Ability to mentor engineers, improve engineering practices, lead through technical influence, and connect engineering work to member, business, product, and operational outcomes • Open to experimenting with AI tools and willing to learn • Nice to have: Experience with AWS, Databricks, MLflow, SageMaker, Spark/PySpark, Kafka, or streaming systems • Nice to have: Experience building feature platforms, model-serving systems, workflow-orchestration platforms, or internal developer platforms • Nice to have: Familiarity with monitoring model quality, data quality, feature coverage, latency, reliability, or cost efficiency, and experience working with sensitive data in a regulated or financial-services environment • Nice to have: Experience with Java or another backend language in addition to Python, and familiarity with AI tools such as ChatGPT or Copilot

🏖️ Benefits

• Medical, Dental & Vision Insurance • Provident Fund • Life & Accident Insurance • Internet Allowance • Fuel Allowance • Meal Allowance • Telephone Allowance • Competitive compensation and benefits package supporting physical, financial, and professional well-being