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Senior Software Engineer - R12746Senior Software Engineer - R12746
Oportun
India, Southern Asia (country)
Back-end
DevOps
ML Engineer
Python
Docker
Kubernetes
Cloud
AWS
Software engineer
MongoDB
MariaDB
FastAPI
Jira
GitHub
Agile
Jenkins
Databricks
S3 Bucket
EC2
Lambda
DynamoDB
Posted 15 days ago
Sr. Front End EngineerSr. Front End Engineer
ScienceLogic
Reston, United States (city)
$80k - $120k
Front-end
Back-end
Javascript
Cloud
React
SQL
Typescript
REST APIs
GraphQL APIs
AI
Open Source
Software engineer
Developer
Bash
CSS
MySql
MariaDB
GitHub
Agile
Scrum
Angular
Posted 21 days ago
Data Engineer IIData Engineer II
Subsplash
United States, Northern America (country)
$120k - $138k
Back-end
Data science
Business Intelligence
ML Engineer
Engineering Manager
Big Data Engineer
Data Warehouse
Python
Javascript
Kubernetes
Terraform
AWS
SQL
AI
Site reliability engineer
MySql
MongoDB
MariaDB
GitLab
DynamoDB
Posted 23 days ago
Senior DevOps Engineer (Top Secret Clearance)Senior DevOps Engineer (Top Secret Clearance)
Appian Corporation
McLean, United States (city)
DevOps
Java
C
Javascript
Kubernetes
Cloud
Ruby
Postgres
Azure
AI
Bash
PHP
MySql
Oracle
SQL Server
MariaDB
Agile
Linux
Posted 24 days ago
Collibra Architect ConsultantCollibra Architect Consultant
First San Francisco Partners
San Francisco, Argentina (city)
$110k - $139k
Architect
C
Marketing
Sales
Azure
SQL
Apache
MySql
MongoDB
Oracle
SQL Server
MariaDB
Cassandra
Kafka
XML
JSON
Databricks
S3 Bucket
DynamoDB
Posted 1 month ago
Backend EngineerBackend Engineer
PartsTech
Lisbon, Portugal (city)
Front-end
Back-end
NLP
ML Engineer
Java
Python
Kotlin
Kubernetes
Helm
Spring Boot
Redis
Search
API
Cloud
AWS
SQL
Node.js
GraphQL APIs
AI
Git
Software engineer
Rust
MySql
MongoDB
MariaDB
ElasticSearch
Kafka
GitHub
GitLab
grpc
Grafana
Prometheus
Jenkins
CircleCi
DynamoDB
jUnit
Posted 1 month ago
Published: 2025-05-13  •  India, Southern Asia (country)
DevOps
AWS
ML Engineer
Docker
Kubernetes
Python
Back-end
Cloud
Software engineer
MongoDB
MariaDB
FastAPI
Jira
GitHub
Agile
Jenkins
Databricks
S3 Bucket
EC2
Lambda
DynamoDB
Remote
Full-time

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

 

WORKING AT OPORTUN


Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.



Company Overview: At Oportun, we are on a mission to foster financial inclusion for all by providing affordable and responsible lending solutions to underserved communities. As a purpose-driven financial technology company, we believe in empowering our customers with access to responsible credit that can positively transform their lives. Our relentless commitment to innovation and data-driven practices has positioned us as a leader in the industry, and we are actively seeking exceptional individuals to join our team as Senior Software Engineer to play a critical role in driving positive change.   Position overview We are seeking a highly skilled Platform Engineer with expertise in building self-serve platforms that combine real-time ML deployment and advanced data engineering capabilities. This role requires a blend of cloud-native platform engineering, data pipeline development, and deployment expertise. The ideal candidate will have a strong background in implementing data workflows, building platforms to enable self-serve for ML pipelines while enabling seamless deployments.   Responsibilities Platform Engineering
  • Design and build self-serve platforms that support real-time ML deployment and robust data engineering workflows.
  • Create APIs and backend services using Python and FastAPI to manage and monitor ML workflows and data pipelines.
Real-Time ML Deployment
  • Implement platforms for real-time ML inference using tools like AWS SageMaker and Databricks.
  • Enable model versioning, monitoring, and lifecycle management with observability tools such as New Relic.
Data Engineering
  • Build and optimise ETL/ELT pipelines for data preprocessing, transformation, and storage using PySpark and Pandas.
  • Develop and manage feature stores to ensure consistent, high-quality data for ML model training and deployment.
  • Design scalable, distributed data pipelines on platforms like AWS, integrating tools such as DynamoDB, PostgreSQL, MongoDB, and MariaDB.
CI/CD and Automation
  • Use CI/CD pipelines using Jenkins, GitHub Actions, and other tools for automated deployments and testing.
  • Automate data validation and monitoring processes to ensure high-quality and consistent data workflows.
Documentation and Collaboration
  • Create and maintain detailed technical documentation, including high-level and low-level architecture designs.
  • Collaborate with cross-functional teams to gather requirements and deliver solutions that align with business goals.
  • Participate in Agile processes such as sprint planning, daily standups, and retrospectives using tools like Jira.
Required Qualifications Experience
  • 5-10 years experience in IT
  • 5-8 years experience in platform backend engineering
  • 1 year experience in DevOps & data engineering roles.
  • Hands-on experience with real-time ML model deployment and data engineering workflows.
Technical Skills
  • Strong expertise in Python and experience with Pandas, PySpark, and FastAPI.
  • Proficiency in container orchestration tools such as Kubernetes (K8s) and Docker.
  • Advanced knowledge of AWS services like SageMaker, Lambda, DynamoDB, EC2, and S3.
  • Proven experience building and optimizing distributed data pipelines using Databricks and PySpark.
  • Solid understanding of databases such as MongoDB, DynamoDB, MariaDB, and PostgreSQL.
  • Proficiency with CI/CD tools like Jenkins, GitHub Actions, and related automation frameworks.
  • Hands-on experience with observability tools like New Relic for monitoring and troubleshooting.
 

We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

 

California applicants can find a copy of Oportun's CCPA Notice here:  https://oportun.com/privacy/california-privacy-notice/.

 

We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).

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