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Job Title: Senior Software Engineer
Reports To: Manager of Application Development
About the Role:
The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.
Responsibilities:
- Design, implement, test, and maintain scalable, secure, and reliable applications and services.
- Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
- Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
- Participate in architectural discussions and support incremental evolution of systems with team leads.
- Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
- Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
- Identify and mitigate technical risks in assigned systems and projects.
- Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
- Collaborate effectively with onshore and offshore teams to ensure successful project execution.
- Keep abreast of industry trends and new technologies to encourage innovation.
- Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
- Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
- Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
- Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
- Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
- A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.
Required Skills:
- Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
- Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
- Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
- Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
- Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
- Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
- API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
- DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
- Containerization: Experience with Docker and Kubernetes for application development and deployment.
- Security: Understanding of secure coding and application security best practices.
Preferred Skills:
- Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
- Strong problem-solving abilities and the capacity to make effective decisions under constraints.
- Leadership through mentoring and influencing technical direction.
- Adaptability to new technologies and changing environments.
- Critical thinking in evaluating options and making informed decisions.
- Effective time management across multiple projects.
- Empathy for team and stakeholder perspectives to foster collaboration.
Job Description
LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.
Data Engineer Level 2
Location: Blue Ash, OH 45241
Duration: 6 months (Contractor)
Pay Rate: $55–$75/hr (W2)
Interview Process: In-person interviews required at Blue Ash, OH location.
Overview
Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.
Key Responsibilities
- Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
- Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
- Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
- Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
- Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
- Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
- Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.
Requirements
- 5+ years as Data Engineer.
- Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
- Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
- Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
- Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
- Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
- SDLC familiarity; ability to manage priorities independently.
know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on
Job Title: SDET / QA Automation Engineer
Location: Mount Laurel- NJ
Duration: Long Term
Job Description:
Job Summary:
We are seeking a highly skilled and experienced SDET / QA Automation Engineer with 8 to 10 years of expertise in Python, JavaScript, and modern automation frameworks. This position involves developing automation solutions, microservices, and test scripts while validating end‑to‑end network components and their behavior. The candidate should have strong domain knowledge in networking and cable technologies, with the ability to collaborate effectively with clients and cross‑functional teams.
Key Responsibilities:
- Develop microservices using Python, NodeJS, and Golang as part of automation and service validations.
- Develop standalone Python/NodeJS scripts to simulate network traffic and validate performance across different endpoints.
- Create Proof of Concepts (POCs) based on client needs and actively participate in client demos and technical discussions.
- Lead the creation of test strategies and manage test environments with both physical and virtual device setups.
- Create comprehensive test scenarios and automated test scripts using MochaJS, ensuring robust coverage of functional, integration, and regression test cases.
- Design reusable test components, validate API and microservice behavior, and integrate MochaJS test suites into the existing automation framework to enhance reliability and execution efficiency.
- Collaborate with cross‑functional teams to refine requirements, improve test coverage, and ensure smooth integration with CI/CD pipelines.
- Gather requirements and perform detailed analysis for new automation scenarios and test case development.
- Support manual and automation testing across applications, devices, and servers as required.
- Ensure code quality using tools like SonarQube and adhere to strict QA standards.
- Provide technical guidance, troubleshooting support, and mentorship to team members on tasks and issues raised by the client.
- Maintain version control and branching strategies using GitHub, ensuring high code integrity and traceability.
- Monitor automation execution, analyze failures, and drive root‑cause investigations to improve overall product quality.
- Document technical workflows, automation processes, and test scenarios to ensure long-term maintainability and knowledge sharing.
Required Skills & Experience:
- 8-10 years of experience in QA/SDET automation roles.
- Strong programming knowledge with Python and JavaScript.
- Good hands-on experience with Go Lang and NodeJS.
- Hands-on experience with MochaJS for scripting and automated testing.
- Excellent knowledge with web technologies like REST, SOAP, XML and JSON
- Proficiency in API testing using Bruno/ Postman.
- Familiarity with GitHub for version control and Jira for project tracking.
- Excellent domain knowledge in Network and cable domain
- Should be familiar with IMS architecture and SIP protocols.
- Good problem-solving and debugging skills.
Should have good communication and client interaction skills.
Length of Contract: 6 months
Location: Remote (Eastern time zone)
What are the top 3-5 skills, experience or education required for this position:
a. Proficiency in databases (SQL) and coding in R/Python
b. Experience with API development
c. Familiarity with AI techniques and strong curiosity for new technologies
d. Experience managing and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR)
e. Code management, documentation, and version control (e.g., GitHub)
Job Overview: As a Data Analyst, you'll drive data quality and consistency in our central hub for storing OMICS data, address impactful data loading and curation projects and help improve and automate processes using agentic AI. Working closely with researchers, you'll ensure their data needs are met and help accelerate scientific discovery.
Key Responsibilities:
- Contribute to important data loading and curation projects for the departments Omics data server
- Address data quality and consistency issues in the CRISPR database.
- Apply agentic AI approaches for data loading and querying OMICS data
- Database Interaction: Use PostgreSQL to build, manage, and query large genomic datasets.
- API Development: Design and implement APIs for improved data accessibility and integration across platforms.
- Automation: Use Python and R to automate and optimize data workflows, prioritizing data quality and integrity.
- ETL Process Management: Develop and execute ETL processes to integrate high-value datasets in line with organizational standards.
- Collaboration: Work with cross-functional teams and research scientists to gather requirements, align to common data model standards, and facilitate effective data management.
- Documentation: Maintain comprehensive documentation and version control for reproducibility and teamwork.
Required qualifications:
- Master's degree in computer science, bioinformatics, or a related field, with 3+ years of relevant experience.
- Proven experience working with databases (PostgreSQL proficiency).
- Advanced skills in Python and R for automation and data manipulation.
- Experience handling and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR).
- Code management, documentation, and usage of Github.
- Curiosity and basic knowledge of AI techniques applicable to data loading and querying.
- Excellent communication skills and a collaborative mindset.
- Demonstrated experience with AWS resources.
- Experience in API
About Us
We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.
The Opportunity
The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.
Compensation Structure: Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.
What You'll Do
*During the internship you may choose the area to focus on...
Application Testing & Quality Assurance
- Design and execute comprehensive test plans for our healthcare portal
- Perform manual testing across web applications, APIs, and integrations
- Identify and document bugs, usability issues, and edge cases
- Test healthcare compliance features (HIPAA, document security, audit trails)
Test Automation Development
- Build automated test suites using modern testing frameworks
- Develop API testing scripts for healthcare data integrations
- Create performance testing scenarios for document upload/processing
- Implement continuous testing pipelines with CI/CD integration
AI/ML Quality Support
- Collaborate with our AI team on document processing accuracy testing
- Help validate machine learning models for healthcare document extraction
- Design test datasets for training and validation of AI systems
- Analyze and report on AI/ML model performance and data quality
Data Engineering Quality Assurance
- Develop data quality monitoring and validation processes
- Create automated checks for data integrity across MongoDB systems
- Build dashboards and alerts for data quality metrics
- Support ETL pipeline testing and validation
Process Improvement & Strategy
- Analyze current QA processes and identify optimization opportunities
- Research and recommend new testing tools and methodologies
- Participate in technical decision-making and sprint planning
- Document QA best practices and create team knowledge base
What We're Looking For
Required Qualifications:
- Currently pursuing or recently completed degree in Computer Science, Engineering, or related field
- Strong understanding of software testing principles and methodologies
- Experience with at least one programming language (Python, JavaScript, Java, etc.)
- Basic knowledge of databases (SQL/NoSQL) and API testing
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a collaborative environment
Preferred Qualifications:
- Experience with test automation frameworks (Selenium, Pytest, Jest, etc.)
- Knowledge of healthcare IT, compliance requirements, or regulated industries
- Familiarity with cloud platforms (AWS) and DevOps practices
- Experience with data analysis, ETL processes, or machine learning
- Previous internship or project experience in QA/testing roles
Technical Skills We'd Love to See:
- Testing Tools: Selenium, Postman, Jest, Pytest, Cypress
- Programming: Python, JavaScript, SQL
- Databases: MongoDB, SQL databases
- Cloud/DevOps: AWS, Docker, CI/CD pipelines
- Data Tools: Pandas, data validation frameworks
- Version Control: Git, GitHub
What You'll Gain
Professional Development:
- Real Impact: Your work directly affects a production healthcare platform used by hospitals
- Mentorship: Work closely with senior engineers and receive structured feedback
- Healthcare Domain Knowledge: Learn about healthcare compliance, accreditation, and regulatory requirements
- Enterprise Technology: Gain experience with production-grade systems, security, and scalability
Technical Skills:
- Advanced testing methodologies and automation frameworks
- Healthcare data processing and compliance requirements
- AI/ML model testing and validation techniques
- Data engineering and quality assurance practices
- Modern DevOps and CI/CD practices
Career Opportunities:
- Immediate Value: Potential upfront equity compensation based on qualifications
- Strong potential for full-time conversion based on performance
- Network with healthcare technology professionals
- Portfolio of real-world healthcare technology projects
- Experience that's highly valued in the growing healthtech sector
Our Tech Stack
- Frontend: React, Modern CSS
- Backend: Node.js, TypeScript, Python, RESTful APIs
- Database: MongoDB, with future SQL integrations
- Cloud: AWS (EC2, S3, Lambda, RDS)
- AI/ML: Document processing, natural language processing
- Security: HIPAA compliance, encryption, audit logging
- DevOps: Docker, GitHub Actions, automated testing
Compensation & Equity
- Base Position: Unpaid educational internship
- Equity/Stock Compensation: Available upfront based on applicant qualifications and experience level
Our Hiring Process
We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:
- Initial Screening Call We'll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.
- Technical Interview We'll have an in-depth discussion about your experience and explore related technical concepts. You should be prepared to walk through every aspect of quality assurance as it pertains to your resume.
Ready to apply? We look forward to hearing from you!
MedLaunch is an equal opportunity employer committed to diversity and inclusion.
No C/C
No Corp to Corp
No Third party vendors
W2 ONLY!
Job Title: DevOps Engineer
Location: Westborough, MA (Hybrid – Tues/Wed/Thurs onsite)
Type: 6 months Contract
Work Authorization: W2 only
Interview Process: 2 rounds (Zoom, no onsite)
Overview
We are seeking an experienced DevOps Engineer to support cloud infrastructure, CI/CD pipelines, and deployment automation across a diverse enterprise environment. This role focuses on improving application reliability, scalability, and operational efficiency through modern DevOps practices and tooling.
You will work across AWS and Azure environments, supporting cloud-native deployments, integration platforms, and custom applications.
Key Responsibilities
- Design, build, and maintain CI/CD pipelines using GitHub Actions, Jenkins, and Ansible
- Develop standardized deployment pipelines for applications, infrastructure, and integration platforms (MuleSoft, ODI)
- Build and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC)
- Support containerized environments using Docker and Kubernetes (EKS)
- Automate deployment and operational workflows using Ansible (YAML, Playbooks) and Python scripting
- Enable DevOps best practices across applications, integrations, and backend services
- Monitor and improve system reliability, performance, and deployment processes
Required Qualifications
- 6–8+ years of experience in DevOps, CI/CD, and cloud infrastructure engineering
- Strong experience with AWS and Azure
- Hands-on experience with Ansible (YAML, Playbooks) and Python scripting
- Experience with Terraform (IaC) and cloud automation
- Experience with Kubernetes (EKS) and containerization (Docker)
- Experience with Jenkins and/or GitHub Actions
- Experience with MuleSoft API integrations and/or Oracle Data Integrator (ODI)
- Strong automation mindset and problem-solving skills
Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
Project description
The customer is looking for a JavaFS / Spring / C# / CSS
Responsibilities
Collaborates with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements
Maintains and enhances existing enterprise services, applications, and platforms using domain driven design and test-driven development
Troubleshoots and debugs complex issues; identifies and implements solutions
Creates detailed project specifications, requirements, and estimates
Researches and implements new technologies to enhance current processes, security, and performance
Supports the development of coding standards and adheres to best practices and security guidelines
Works closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs"
Skills
Must have
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
5+ years of experience designing, developing, and implementing large-scale solutions in production environments TOP Skills Required: Java FullStack / focus on Front End
REACT .NET/C# SQL DataFactory UI Skills, Licenses & Certifications
Proficiency in Full Stack Development
Proficiency with the following technologies:
Programming Languages: C# required, PySpark and Python is a plus.
Frameworks: Spring/SpringBoot, FastAPI, .Net Core, .Net Framework
Front End Technologies: CSS, jQuery, AJAX, Hands on experience in Single Page Architectures such as React is required
Source Control: GitHub, Azure DevOps
CICD: GitHub Actions, Azure DevOps
Data management: PostgreSQL, MS SQL
Integration/APIs Technologies: Kafka, REST, GraphQL
Cloud Providers such as Azure
Other Dev Ops Toolchain: Selenium, SonarQube, GitHub, Kibana, New Relic 10. Proficiency in Networking and security concepts: OAuth, VNet Injection, VNet Integration, Private Endpoints, Azure Firewall 1
Proficiency in object-oriented design techniques and principles 1
Proficiency in Development Tools: Visual Studio, Visual Studio Code, SQL Server Management Studio, Azure Data Studio
Ability to concisely convey ideas verbally, in writing, in code, and in diagrams
Ability to work through others by cooperatively sharing responsibilities
Proficiency in Agile methodologies, such as SCRUM
Selling Partner Trust and Store Integrity (TSI) creates a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors, and Amazon from fraud, counterfeit, and abuse. The Special Projects and Investigations (SPI) team within TSI protects Amazon customers and stores by applying systems thinking to understand how networks of users interact with multiple services. We target large-scale ecosystems that pose store-level risks and mitigate those ecosystems through internal and external means. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, demonstrate tenacity to get things done, thrive in ambiguity and change, and can break down and solve complex problems.
We catch bad actors and stop online fraud. It’s fun. It’s hard. It matters. We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. Amazon is one of the world’s most trusted companies. Help us keep it that way. To achieve this, the ideal candidate should be passionate about use of advanced data analytics and technology approaches to identify patterns and establish connections to uncover process and technology gaps and prevent fraud across Amazon stores worldwide. Your decisions are not only fundamental to helping protect customers and selling partners but will help maintain the health of Amazon’s catalog and product listings ecosystem.
Key job responsibilities
• Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)
• Use high-level judgment to inform our most complex enforcement decisions
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
• Use data and/or technical skills to discover new ways to scale deep dive signals resulting in the identification of many bad actors and sizing the issue
• Owning the complete life cycle of one or more complex problems - from identification through scaling the solutions
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
• Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, systems, and policies
• Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders
• Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.
• Design and deploy agentic AI systems to automate complex workflows, scale pattern detection, and accelerate enforcement decisions across high-volume abuse scenarios
A day in the life
Your day might involve diving deep into data to uncover emerging fraud patterns, collaborating with teams across Amazon to implement protective solutions, or developing new detection methods. You'll balance independent analytical work with team collaboration, sharing insights and supporting colleagues in our shared mission.
About the team
Our team is comprised of practitioners of fraud and abuse, working to understand bad actor ecosystems using threat intelligence analytics and technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results - we wear a lot of hats and take ownership of hard to solve problem areas whenever possible. We speak 12 languages, write code in 3 (mostly self-taught, on the job), and celebrate learning and taking risks. We encourage experimentation and curiosity while supporting each other to constantly learn and grow.
Our work is to solve hard puzzles and identify what hasn’t already been discovered - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.- Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related discipline.
- 3+ years of relevant industry experience in risk or fraud investigations, regulatory compliance, ecommerce, analytics, or security
- Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python
- Proven ability to deliver complex projects across multiple teams- • Experience working in e-commerce organizations • Experience working within fraud, compliance, law enforcement, or intelligence organizations • Experience with AWS services like Redshift, Neptune or Sagemaker • Masters degree in or practical experience with data science or machine learning • Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences. • High level of integrity and discretion to handle confidential information. • Exceptional ownership and bias for action: willing to move quickly and decisively • Proven ability to problem solve in large/complex/technical systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 102, ,400.00 USD annually
About the Role
We are seeking a Backend Engineer to help build and maintain the backend services and API’s that power our proprietary AI SaaS CRM and LMS platforms.
You will work directly with our CTO, collaborate with the engineering team, and partner closely with our Product Manager to design, implement, and maintain scalable backend systems.
Our backend services are built primarily with:
- NestJS (TypeScript)
- Python
- Deployed across multiple AWS environments
This is a hands-on backend engineering role focused on API development, cloud deployment, distributed systems, and production-grade reliability.The role has meaningful ownership - not just ticket execution.
What You’ll Do
- Work directly with the CTO on backend design and implementation decisions
- Partner closely with a Product Manager on sprint planning, backlog grooming, translating product requirements into technical solutions, and prioritizing customer-impacting improvements
- Design, build, and maintain backend API services using NestJS (TypeScript)
- Build and support backend services in Python
- Develop and maintain production-grade RESTful APIs
- Contribute to multi-environment deployments across AWS
- Use Terraform to manage our IAC
- Work with CI/CD workflows and structured deployment procedures
- Follow and contribute to engineering documentation including development guidelines, environment configuration standards, security practices, and versioning and changelog management
- Implement and support asynchronous and event-driven systems
- Write clean, maintainable, well-tested code
- Participate in code reviews and maintain high engineering standards
- Debug and resolve production issues across distributed cloud environments
What We’re Looking For (Required)
- 5+ years of backend engineering experience
- Strong proficiency in TypeScript and experience with NestJS
- Strong proficiency in Python
- Experience designing and implementing RESTful APIs
- Experience deploying and maintaining applications in AWS
- Familiarity with multi-environment deployments (dev, staging,UAT, production)
- Experience working with CI/CD pipelines
- Experience with relational databases (PostgreSQL)
- Familiarity with Docker or containerized workflows
- Experience working in GitHub-based workflows in a collaborative environment (pull requests, code reviews, branching strategies, and issue tracking)
- Comfortable working in an agile environment with JIRA and Monday
- Strong communication and problem-solving skills
- Experience building SaaS or multi-tenant platforms
Nice to Have / Strong Plus
- Familiarity with C# & C++
- Experience with Dentrix, OpenDental, or other dental integration PMS’s
- Experience building a greenfield SaaS or B2B software
- Experience with building on a Healthcare platform
- Familiarity with AI-enabled products or LLM integrations
- Experience with Redis or caching strategies
- Experience integrating third-party APIs
Why This Role Is Different
- Direct collaboration with the CTO on backend system design
- Close partnership with Product Management
- Opportunity to help shape a modern, AI SaaS platform for the healthcare industry
