Backend Software Engineer - Reference Data Services Job at Clear Street (New York)

Senior Data Engineer

This role is categorized as hybrid. This means the successful candidate is expec...

Location

United States , Austin

Salary:

125000.00 - 173150.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience
6 - 8+ years of professional experience in software engineering and/or data engineering, with a strong track record of delivering production systems
Strong proficiency in Java and object-oriented design, with experience applying design patterns and clean architecture principles
Hands-on experience building Quarkus and Spring Boot applications, including configuration management, dependency injection, and integration with external services
Demonstrated experience designing and consuming REST APIs and building microservices architectures, including service contracts, versioning, and backward compatibility
Strong knowledge of event-driven architectures and real-time data processing using Kafka or Azure Event Hub (topics, partitions, consumer groups, schema evolution)
Deep experience with relational databases, especially PostgreSQL, including schema design, performance tuning, query optimization, and monitoring
Hands-on experience with Azure cloud services, especially AKS, networking (ingress, load balancers), identity, and managed data/services
Experience implementing and maintaining CI/CD pipelines using GitHub Actions/Workflows, including build, test, quality gates, and deployment automation
Solid Infrastructure-as-Code experience with Terraform, including modules, environment strategy, state management, and authoring Datadog monitors via code

Job Responsibility

Own the end-to-end design, development, and operation of scalable data engineering pipelines and backend services using Java, Quarkus, Spring Boot ensuring reliability, observability, and maintainability
Lead the design and implementation of cron-based and event-driven orchestration services that retrieve and process data from multiple enterprise systems via REST APIs and messaging platforms
Architect and implement real-time data processing solutions using Kafka and Azure Event Hub, including schema design, consumer group strategy, and resiliency patterns
Design and optimize relational data models and database solutions using PostgreSQL and other relational data stores, including indexing strategies, query optimization, and performance tuning at scale
Drive the deployment, scaling, and lifecycle management of services on Azure Kubernetes Service (AKS), including workload identity, networking, and security configuration
Define and implement CI/CD pipelines using GitHub Actions/Workflows, and manage automated, GitOps-based deployments using ArgoCD across multiple environments
Lead infrastructure automation using Terraform, establishing reusable modules, environment standards, and best practices for cloud resource provisioning and governance, including Datadog monitor creation and management
Design and implement end-to-end observability using Prometheus, Datadog, and related tooling, including metrics, logs, traces, dashboards, and alerting with clear SLOs/SLIs
Build and maintain data processing workflows using Databricks and distributed data frameworks, including batch and streaming jobs, job orchestration, and cost-optimized compute
Collaborate closely with product, architecture, and cross-functional engineering teams to refine requirements, define technical roadmaps, and translate business outcomes into robust technical designs

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Senior Full Stack Software Engineer

At Boston Children’s Hospital, the quality of our care – and our inclusive hospi...

Location

United States , Boston

Salary:

99153.60 - 158631.20 USD / Year

Boston Children's Hospital

Expiration Date

Until further notice

Requirements

Bachelor's in Computer Science, Master's preferred
Bachelor's and 7 years’ experience or Master’s and 4 years of related experience
Practical experience with Python, JavaScript, and SQL
Experience with big data technologies (e.g., Spark, Athena, Presto, BigQuery, Airflow, Parquet)
Strong knowledge of Linux and *nix ecosystems
Strong communication and collaboration skills
A link to your work on GitHub or comparable public work

Job Responsibility

Partner with clinicians, researchers, and engineers to translate user needs into engineering plans, weighing effort against impact
Design and build backend services that turn large-scale clinical data into research-ready and AI-ready data products
Build APIs and reference clients that demonstrate the platform’s capabilities to clinical, research, and public health partners
Contribute to and represent open standards
Present at conferences, collaborate with developers from peer institutions, and help shape the next generation of FHIR and SMART specifications

What we offer

flexible schedules
affordable health, vision and dental insurance
child care and student loan subsidies
generous levels of time off
403(b) Retirement Savings plan
Pension
Tuition and certain License and Certification Reimbursement
cell phone plan discounts
discounted rates on T-passes

Fulltime

Software Engineer II

Uber Courier is one of the fastest growing businesses at Uber. It is an on-deman...

Location

United States , New York

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

3+ years of professional software engineering experience
Proven ability to write clean, well-tested, production-grade code and deliver features of moderate complexity end-to-end
Experience working across multiple layers of a software system — from client interfaces to backend services and data
Programming language (e.g. Go, C, C++, Java, or Python) and web technologies
Strong foundation in software design principles, architectural trade-offs, and engineering best practices. Possess understanding of API design and service-level concerns like reliability and scalability
Collaborative mindset with a track record of working well across teams and with cross-functional stakeholders

Job Responsibility

Collaborate with stakeholders and cross-functional partners to translate customer problems and business requirements into robust system designs
Write, test, and document high-quality code to deliver product features projects and engineering excellence projects end to end
Write automated tests to verify functionality and stability
establish or contribute to monitoring and alerting systems to ensure production reliability
Participate in on-call rotations and handle production incidents independently, following established best practices for triaging and resolution
Provide and solicit code review feedback
actively contribute to raising the quality bar across the team
Proactively improve the performance and efficiency of your own systems and software
Contribute to technical documentation including API references, onboarding guides, operations runbooks, and internal knowledge resources

What we offer

Eligible to participate in Uber's bonus program
may be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Ai Technical Architect

Location

United States , Auburn Hills

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20+ years in software engineering with 5+ years focused on AI/ML systems
3+ years hands-on experience architecting and shipping production LLM and agentic AI applications
Demonstrated success leading enterprise-scale AI platform builds with measurable business outcomes
Track record architecting scalable cloud-native systems on AWS in regulated or large-enterprise environments
Experience leading technical teams, mentoring engineers, and engaging executive stakeholders
Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field
Expert proficiency with LangGraph, LangChain, and agent orchestration frameworks
Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases
Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns
Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization

Job Responsibility

Design the enterprise AI platform architecture spanning the LLM API gateway, GPU and compute allocation pools, sandbox provisioning, model registry, and security gate automation
Define infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrations
Establish guardrails for token metering, rate limiting, audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CD
Review security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselines
Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use
Define patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use cases
Design and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise data
Establish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in production
Architect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases
Define infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra

Fulltime

Sr. Software Architect-AI

Join Ericsson as a Senior Software Architect – AI, owning end-to-end architectur...

Location

India , Noida

Salary:

Not provided

Ericsson

Expiration Date

Until further notice

Requirements

BE/B.Tech/MCA in Computer Science, Engineering, or equivalent, with 15+ years in software architecture and relevant 3+ years designing AI/ML or LLM-based systems in production
Deep expertise in Python (FastAPI, asyncio) and ML/DL frameworks (PyTorch, TensorFlow)
strong experience with distributed, cloud-native services
Hands-on with RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus, Chroma) for enterprise knowledge grounding
Proven experience with agentic GenAI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) and interoperability patterns such as Model Context Protocol (MCP)
Strong knowledge of LLM architectures, fine-tuning techniques (LoRA, PEFT), and experience with Azure OpenAI and/or AWS Bedrock
Solid understanding of MLOps/LLMOps, Responsible AI principles, and embedding governance into GenAI design
Proficiency with Docker, Kubernetes, Terraform, and CI/CD for cloud-native AI deployments
Good to Have: LLM observability tools (Arize, LangSmith), Azure enterprise services (AKS, Key Vault), memory frameworks (MemGPT, LangMem), knowledge graph experience, and Telecom industry AI adoption background

Job Responsibility

Architect agentic AI applications using LangChain, LangGraph, and orchestration patterns
define prompt strategies, guardrails, and structured outputs aligned to product and risk requirements
Design and optimize RAG solutions (chunking, embeddings, retrieval, re-ranking) and own foundation model integrations (Azure OpenAI, AWS Bedrock, on-prem LLMs) with routing, fallbacks, and cost/performance optimization
Define GenAI reference architectures
evaluate and select LLMs, embedding models, vector databases, and orchestration frameworks based on performance, compliance, and cost
Embed security, privacy, and Responsible AI governance from inception — covering PII handling, data access controls, and content guardrails
Build scalable backend APIs using Python (FastAPI, asyncio) with REST/JSON-RPC interfaces and resilience patterns (Redis, RabbitMQ)
guide teams on MLOps/LLMOps standards including deployment, monitoring, retraining, and drift handling
Define LLM evaluation strategies, implement observability/tracing (Arize, LangSmith), and design memory strategies with retention and replay safety for long-running assistants
Containerize and deploy services via Docker and Kubernetes

Fulltime

Senior Full Stack Engineer

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Seattle

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of professional software development experience in large-scale enterprise environments
3+ years of experience with ReactJS and its core principles (e.g., Redux, Hooks)
4+ years of experience with backend technologies, including .NET (C#) and Java
3+ years of experience with cloud platforms such as Azure, AWS, or GCP
Experience with RESTful services and APIs
Experience with open-source frameworks and tools
Hands-on experience in designing and architecting scalable systems
Strong proficiency in HTML5, CSS3, and JavaScript (ES6+)
Expertise in ReactJS and its ecosystem
Experience with backend frameworks such as Java, ASP.NET Core, Spring Boot, or similar

Job Responsibility

Design and Develop Systems: Architect, develop, and maintain scalable, resilient distributed systems
Define Product Requirements: Collaborate with stakeholders to define product requirements and deliver optimal solutions
Collaborate Across Teams: Work with cross-functional teams throughout the software development lifecycle to ensure seamless integration and delivery
Lead and Mentor: Conduct design sessions, code reviews, and mentor junior engineers to elevate engineering quality and share best practices
Develop Reusable Components: Create reusable application components and patterns to improve efficiency and scalability
Full-Stack Development: Design, develop, and maintain scalable full-stack applications, including front-end features using ReactJS and its ecosystem, backend services with .NET or Java frameworks, and efficient data management using SQL and NoSQL databases
API and Microservices: Develop and integrate RESTful APIs and microservices for seamless communication between systems
DevOps Practices: Utilize CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes) to streamline development and deployment
Documentation: Publish and maintain documentation for design references, workflows, and runbooks
System Support: Provide support for critical systems, including 24x7 on-call support when necessary

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

C# Engineer - AI Training

As a Senior C# Engineer, you will work remotely on an hourly paid basis to revie...

Location

Salary:

20.00 USD / Hour

Braintrust

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, or a closely related technical field
4+ years of professional experience developing production software in C#, including backend services, APIs, or desktop/server-side applications
Expert-level proficiency in C# and the .NET ecosystem, including strong understanding of memory management, garbage collection, async/await, threading, and exception handling
Strong background in software engineering and systems concepts, including concurrency, multithreading, performance optimization, and application architecture
Hands-on experience with .NET tooling, including Visual Studio or Rider, build systems (MSBuild, dotnet CLI), debuggers, and profilers
Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines
Proven experience conducting detailed code reviews and enforcing coding standards, best practices, and maintainability in C# codebases
Comfort working with version control systems, CI/CD workflows, and automated testing frameworks (e.g., xUnit, NUnit, MSTest)

Job Responsibility

Review AI-generated C# code, .NET application designs, and technical explanations
Generate high-quality reference implementations and step-by-step reasoning for complex engineering problems
Assess solutions for accuracy, clarity, safety, and adherence to the prompt
Identify errors in logic, memory usage, concurrency, threading, or performance
Fact-check technical information
Write high-quality explanations and model solutions that demonstrate correct methods
Rate and compare multiple AI responses based on correctness and reasoning quality

What we offer

No talent fees or membership costs so freelancers keep 100% of what they earn
Get rewarded with BTRST, Braintrust's cryptotoken, for inviting talent, taking a class—even signing up

Parttime

Product Manager, Automation

We are seeking a visionary Product Manager to lead Benchling's automation and da...

Location

United States , San Francisco

Salary:

182000.00 - 247000.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

5+ years of product management or relevant automation industry experience, preferably in B2B SaaS, with a focus on workflow automation and data orchestration platforms
Strong technical background, including deep understanding of APIs, data pipelines, ETL workflows, and software engineering principles
Experience building low-code/no-code platforms or workflow automation tools, with the ability to balance simplicity for non-technical users with extensibility for technical users
Demonstrated ability to lead complex, platform-level products that serve multiple customer personas (e.g. scientists, automation engineers, IT administrators)
Proven track record of developing and launching successful products, from ideation through implementation
Excellent technical communication skills, with the ability to collaborate effectively with engineers, architects, and other technical stakeholders
Comfort with ambiguity and strategic thinking, with the ability to balance long-term platform vision with near-term customer needs
Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders
Experience with Agile/Scrum methodologies, with the ability to adapt quickly in a fast-paced, evolving environment

Job Responsibility

Define and drive the product vision and strategy for Benchling's automation and data orchestration platform, including Pipelines (backend platform) and Automation Designer (customer UX) capabilities
Enable automation that orchestrates end-to-end scientific workflows—from instrument and automated workcell data capture through analysis, Benchling actions, and cross-system integrations
Work closely with engineering teams to prioritize, develop, and launch product features that align with the company's goals and user needs
Collaborate with UX/UI designers to ensure the Automation Designer provides a flexible, intuitive interface that enables customers to create complex, multi-step data automation workflows through a visual, low-code/no-code environment
Foster a culture of innovation, encouraging team creativity and problem-solving to address the complex needs of our users
Conduct thorough market research and user feedback sessions to understand the needs and challenges faced by end users, translating these insights into product features
Define KPIs and success metrics for automation adoption, workflow reliability, and the product's impact on enhancing scientific research and decision-making processes
Collaborate cross-functionally with Platform, Infrastructure, and Application teams to ensure automation capabilities are scalable, reliable, performant, and seamlessly integrated into the broader Benchling platform, delivering unified customer experiences that support enterprise workloads and complex requirements
Drive the strategic evolution toward agentic AI and DBTL (design-build-test-learn) workflows while partnering closely with AI & Analytics teams to embed intelligent automation, experiment optimization, and lab-in-the-loop learning into scientific workflow orchestration
Partner with customer-facing teams (Sales Consulting, Professional Services, Customer Success) to identify high-value automation use cases, build reference implementations, and drive adoption

What we offer

Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation

Fulltime

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Backend Software Engineer - Reference Data Services

Job Description

Job Responsibility

Requirements

What we offer

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