Staff Software Engineer, Frontend (Insights) Job at Cresta (Cluj)

Staff Backend Software Engineer, Insights

Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will ...

Location

Romania , Bucharest; Cluj

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Proven experience as a Backend Engineer with a focus on database design and system architecture
Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries
Hands-on experience with Elasticsearch for indexing and searching large datasets
Proficient in backend programming languages such as Python, Go
Experience with RESTful API design and development
Solid understanding of distributed systems, microservices architecture, and cloud infrastructure
Experience with performance tuning, data modeling, and query optimization
Strong problem-solving skills and attention to detail
Excellent communication and teamwork abilities

Job Responsibility

Design, implement, and maintain backend services and APIs to support applications
Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability
Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions
Monitor and troubleshoot performance issues in distributed systems and databases
Write clean, maintainable, and efficient code following best practices for backend development
Participate in code reviews, testing, and continuous integration efforts
Ensure security, scalability, and reliability of backend services
Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security

Staff Backend Software Engineer, Insights

Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will ...

Location

Romania , Iasi

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Proven experience as a Backend Engineer with a focus on database design and system architecture
Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries
Hands-on experience with Elasticsearch for indexing and searching large datasets
Proficient in backend programming languages such as Python, Go
Experience with RESTful API design and development
Solid understanding of distributed systems, microservices architecture, and cloud infrastructure
Experience with performance tuning, data modeling, and query optimization
Strong problem-solving skills and attention to detail
Excellent communication and teamwork abilities

Job Responsibility

Design, implement, and maintain backend services and APIs to support applications
Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability
Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions
Monitor and troubleshoot performance issues in distributed systems and databases
Write clean, maintainable, and efficient code following best practices for backend development
Participate in code reviews, testing, and continuous integration efforts
Ensure security, scalability, and reliability of backend services
Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security

Fulltime

Sr Staff Engineer Software (Backend Prisma AIRS)

As a Senior Staff Software Backend Engineer on the Prisma AIRS Red Teaming team,...

Location

United States , Santa Clara

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or equivalent
Minimum 4 years of related programming experience required
Expertise in building scalable distributed systems with excellent Python or Golang programming skills
Experienced in modern backend frameworks and tools
Experience with GCP (Google Cloud Platform)
Experience with relational databases and SQL
Ability to work well with a group of senior and junior engineers in a dynamic, fast-paced environment
Experience with modern CI/CD pipelines like GitHub Actions, GitLab Pipelines with Git Version Control
Good grasp of asynchronous programming
Closely worked with Product Managers and frontend engineers to deliver high-quality features

Job Responsibility

Develop highly scalable and robust backend services and APIs that offer customers insights into their red teaming engagements and provide actionable solution suggestions
Work on complex red teaming problems that necessitate an in-depth evaluation of requirements and apply engineering techniques to achieve quality results
Identify problems and opportunities, and propose and develop simple and attainable solutions to enhance the team's development process and product quality
Be a role model in establishing and implementing engineering best practices, including test-driven development, for red teaming solutions
Drive collaborative discussions and create synergy among product feature stakeholders to create an amazing red teaming product

What we offer

Restricted stock units
Bonus

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

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