Staff Software Engineer, Backend (AI Platform) Job at Cresta

Staff Backend Engineer

As a Staff Backend Engineer at Aignostics, you will play a crucial role in shapi...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of software development experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive & event-driven systems and software architecture, design patterns and clean coding
Polyglot with deep experience in multiple programming languages and frameworks
Extensive experience with data storage, management and processing data at scale
Deep understanding of cloud technologies (e.g., GCP, AWS), containerization and orchestration (e.g., Docker, Kubernetes)
Experience with workflow orchestration tools (e.g. Prefect, Airflow) and distributed computing frameworks (e.g. Ray, Spark)
Familiarity with DevOps and DevSecOps practices and tooling (e.g., ArgoCD, Kyverno), CI/CD pipelines (e.g., Gitlab, GitHub), infrastructure as code (e.g., Terraform, Cloud Formation, Crossplane) and observability (e.g., Grafana, Open Telemetry)
Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders

Job Responsibility

Define and drive the technical architecture and system design principles for our data management platform and system landscape
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies
Foster technical alignment across teams by establishing shared architectural principles and best practices
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments

What we offer

Learning & Development yearly budget of 1,000 € (plus 2 L&D days)
Language classes and internal development programs
Mentoring program
Flexible working hours and teleworking policy
30 paid vacations days per year
Family & pet friendly and support flexible parental leave options
Subsidized membership of your choice among public transport, sports and well-being
Social gatherings, lunches and off-site events
Optional company pension scheme

Staff Software Engineer, Advisory Platform

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

217000.00 - 255000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

10+ years of experience building and operating large-scale distributed systems in production
Expertise in backend development with languages such as Go, Python, or Java, and deep knowledge of cloud-native architecture
3+ years leading large-scale technical initiatives or multiple engineering teams
Strong grasp of system design principles and software engineering fundamentals
Proven ability to simplify complex problems and drive alignment across diverse stakeholders

Job Responsibility

Lead the design, development, and deployment of robust backend systems for enterprise B2B financial applications
Architect services with a focus on performance, scalability, and fault tolerance to support advisor-centric product features
Partner across product, AI, and operations teams to deliver secure, compliant systems and continuously improve workflows
Mentor and guide engineers across multiple projects and technical initiatives
Drive technical excellence, sharing best practices and fostering a strong engineering culture

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Staff Software Engineer, Advisor Platform

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

247000.00 - 290000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

10+ years of experience building and operating large-scale distributed systems in production environments
Deep expertise in backend programming (e.g., Go, Python, Java) and cloud-native architecture
3+ years of experience leading large engineering teams or cross-functional technical initiatives
Strong system design skills and a solid foundation in software engineering best practices
Proven ability to communicate technical solutions clearly and deliver end-to-end projects at scale

Job Responsibility

Lead the design, development, and deployment of enterprise B2B applications for financial advisors
Architect and implement scalable, reliable, and high-performance backend systems
Guide technical execution and mentor engineers across multiple teams and projects
Collaborate with product and operations partners to build secure and compliant platforms that improve workflows and service capabilities
Apply AI tools and technologies to power innovative features for advisors

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Staff Platform Engineer

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in ...

Location

United States , Mountain View, California

Salary:

180000.00 - 280000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

7 years of experience in software engineering
5 years of experience with infrastructure-as-code
Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week)

Job Responsibility

Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
Identify and implement opportunities to enhance engineering speed and efficiency
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
Develop and share best practices to improve automation and efficiency across our engineering teams

What we offer

equity and benefits

Fulltime

Staff Platform Engineer

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in ...

Location

Canada , Vancouver

Salary:

190000.00 - 240000.00 CAD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

7 years of experience in software engineering
5 years of experience with infrastructure-as-code
Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash

Job Responsibility

Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
Identify and implement opportunities to enhance engineering speed and efficiency
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
Develop and share best practices to improve automation and efficiency across our engineering teams

What we offer

bonus
equity
benefits

Fulltime

Staff Backend Engineer, Speech AI

Our intelligent runtime must seamlessly connect to foundational models to power ...

Location

United States , Mountain View

Salary:

200000.00 - 300000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A BA/BS degree in Computer Science or a related technical field, or equivalent practical experience
5+ years of professional experience in software development, with a proven track record of shipping high-quality, user-facing products
Strong product sense and an ability to think critically about user experience and business impact
Demonstrated experience in building and scaling production-grade backend APIs and distributed systems
Strong proficiency in Python and professional experience with one or more of the following: Java/Kotlin, or Go
Hands-on experience with containerization (Docker) and deploying services on orchestration platforms like Kubernetes
A solid foundation in data structures, algorithms, and system design

Job Responsibility

Own features end-to-end, from collaborating on the initial concept with product managers to shipping and monitoring the final product
Translate product requirements and user needs into robust, scalable, and maintainable backend services and APIs
Design, build, and launch user-facing APIs and backend systems in Python, Java/Kotlin, and Go that deliver seamless voice experiences
Partner closely with Product Managers and ML engineers to define scope, identify technical trade-offs, and drive the product roadmap forward
Write high-quality, production-grade code that powers real-time audio processing, model inference, and complex data pipelines
Champion engineering and product excellence, with a focus on delivering tangible value to our users quickly and iteratively

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Staff Software Engineer, Core AI

As a Staff AI Engineer on our Core AI team, you will be a cornerstone of FloQast...

Location

United States , San Jose

Salary:

164000.00 - 246000.00 USD / Year

FloQast

Expiration Date

Until further notice

Requirements

10+ years of professional software engineering experience
4+ years focused on building backend for production applications
Mastery of Python
Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders

Job Responsibility

Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance

What we offer

Medical
Dental
Vision
Family Forming benefits
Life & Disability Insurance
Unlimited Vacation

Fulltime