Product Backend Software Engineer, Search Platform Job at Dropbox

Senior Software Engineer, Wikidata Platform

The Wikimedia Foundation is seeking a Senior Software Engineer to join the team ...

Location

Salary:

141352.00 - 175725.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

5+ years of experience as a backend or platform engineer working on distributed systems or data platforms
Deep understanding of database and knowledge graph representation technologies and standards
Proficiency in Java, C++, or other systems languages. Ability to set up, scale, and investigate systems is more important than expertise in a particular language.
Experience building and operating production-grade services with SLOs
Familiarity with modern observability tools (metrics, logging, tracing)
Understanding of graph databases, search indexes, or data processing pipelines
Ability to work collaboratively across disciplines and communicate clearly across technical and non-technical audiences
A commitment to learning, resilience, and contributing to a mission-driven engineering culture

Job Responsibility

Design, build, and maintain backend systems and APIs that power Wikidata’s query infrastructure
Improve reliability, observability, and automation of the Wikidata Query Service and data pipelines
Collaborate with SRE, data engineers, and product teams to ensure stability and scalability under growing usage
Monitor production systems, respond to operational incidents, and proactively identify and resolve bottlenecks
Support platform migrations and system upgrades (e.g., triple stores, streaming ingestion)
Contribute to deployment automation, CI/CD workflows, and service instrumentation
Participate in code reviews, design discussions, and technical planning
Document systems and share knowledge with team members and Wikimedia’s broader technical community

Fulltime

Sr. Manager, Software Engineering (Search)

As a Senior Engineering Manager – Search, you will lead and inspire a talented t...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

3+ years of experience managing engineering teams, with a proven record of developing and scaling backend or search systems
7+ years of total software development experience with cloud-native SaaS platforms
Strong background in search & recommendation technologies such as Lucene, Solr, Opensearch, Elasticsearch, RAG, or similar frameworks
Deep understanding of enterprise search architecture, schema design, and relevance tuning
Proven success building REST APIs, distributed systems, and integrating services using AWS or similar cloud platforms
Experience with object-oriented and functional programming languages, such as JavaScript/TypeScript, Python, or Ruby
Familiarity with machine learning and AI concepts for ranking, personalization, or content recommendations
Track record of attracting and developing diverse talent, fostering a collaborative and inclusive culture
Strong leadership, communication, and stakeholder management skills able to balance technical depth with strategic decision-making

Job Responsibility

Lead, mentor, and grow a team of search and backend engineers focused on high-impact, scalable search solutions
Own the technical vision for search architecture combining traditional and vector based, including relevance, ranking models, and distributed indexing systems
Drive execution excellence — set goals, manage delivery timelines, and ensure consistent progress against engineering objectives
Collaborate with Product and Data Science to translate customer and business needs into measurable search and content recommendation improvements
Optimize and scale our enterprise search stack (Lucene, Solr, ZooKeeper, or similar technologies) to support massive data volumes
Oversee the design and delivery of highly available distributed services and RESTful APIs integrated into Highspot’s platform
Partner with DevOps to ensure reliability, observability, and performance across multiple data centers
Champion AI-driven enhancements to improve personalization, ranking, and search recommendations
Foster a culture of quality, inclusion, and accountability, emphasizing mentorship, continuous learning, and technical excellence
Partner cross-functionally to ensure alignment between platform strategy and product outcomes, including stakeholder communication and risk management

Fulltime

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...

Location

Serbia; Romania , Belgrade; Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
Experience with ML frameworks (e.g., TensorFlow, PyTorch)

Job Responsibility

Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
Build out documentation in relation to architecture, policies and operations runbooks
Share skills, knowledge, and expertise with members of the data engineering team
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience

Fulltime

Senior Principal Software Engineer

To become a 100 year company, we need a world-class engineering organisation mad...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

15+ years of experience building and developing backend applications - Bachelor's or Master's degree with a preference for Computer Science degree
Experience crafting and implementing highly scalable and performant micro-services
Proficiency in any modern object-oriented programming language (e.g., Java, Kotlin, etc.)
Real passion for collaboration and strong interpersonal and communication skills
Familiarity with cloud architecture patterns and an engineering discipline to produce software with quality
Experience in Elasticsearch, being able to deep dive into performance at scale problems, is a bonus

Job Responsibility

Build and ship JQL Search features and capabilities daily in highly scalable, cross-geo distributed environment
Be responsible technical evolution for products and platforms in JQL Search and partially in Jira Platform
Be part of an amazing open and collaborative work environment with other experienced engineers, architects, product managers, and designers, working closely with JQL Search and collaborating with other Jira Platform or Jira product teams
Mentor and level up the skills of your teammates by sharing your expertise in formal and informal knowledge sharing sessions
Ensure full visibility, error reporting, and monitoring of high performing backend services
Foster a culture of efficient delivery

What we offer

Health coverage
Paid volunteer days
Wellness resources
Visit go.atlassian.com/perksandbenefits to learn more

Fulltime

Senior Software Engineer, AI

As a Senior AI Engineer on our Core AI team, you will be a cornerstone of FloQas...

Location

India , Pune

Salary:

Not provided

FloQast

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience
3+ 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

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

Software Engineer, Knowledge Assist

The Knowledge Assist (KA) team at Cresta builds AI solutions that help contact c...

Location

Romania , Bucharest; Cluj

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
3+ years of experience in software engineering roles
Strong backend development skills, preferably with Python, Go, Node.js, or similar languages
Proficiency in designing clear, maintainable APIs (e.g., REST, gRPC)
Experience working with databases (PostgreSQL, ClickHouse, Elasticsearch, or equivalents)
Solid understanding of system design, distributed systems, and cloud platforms (AWS, GCP, or Azure)
Clear communication skills and a collaborative working style

Job Responsibility

Build scalable, reliable backend services that power real-time AI assistance and search
Design APIs and data flows to support integrations with knowledge bases and customer systems
Work across the stack when needed, including backend, frontend, and infrastructure layers
Collaborate closely with product managers, machine learning engineers, and fellow software engineers
Take ownership of projects end-to-end, from design through implementation and operation in production
Contribute to technical discussions, architecture reviews, and continuous improvement efforts

What we offer

Compensation for this position includes a base salary, equity, and a variety of benefits

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