Senior Software Engineer, Agentic Data Products Job at Scale (San Francisco)

Senior Software Engineer - Data Products

We are seeking a highly skilled Senior Software Engineer with deep expertise in ...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
Expertise with at least one of the following Apache Druid, StarRocks, and Trino.
Strong understanding of SOLID principles and distributed systems architecture.
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
Advanced SQL skills, with expertise in query optimization for large datasets.
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
Excellent verbal and written communication skills.
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
Familiarity with additional big data technologies, including Hadoop and Kafka.

Job Responsibility

Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

What we offer

Global access to mental health and financial wellness support and resources.
Local benefits including statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).
Time off in accordance with local leave policies.

Fulltime

Senior Software Engineer / Principal Software Engineer - Copilot CLI

Within GitHub and Microsoft CoreAI, the Copilot CLI team builds GitHub's coding ...

Location

United States , Redmond

Salary:

119800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Job Responsibility

Take ownership of critical product and platform areas of the Copilot CLI and shared agent runtime
Set a high technical and quality bar for agentic systems and developer-facing tooling
Design and ship performant, reliable terminal experiences that developers depend on for daily work
Use data, benchmarks, and direct user feedback to guide iteration and investment
Collaborate across org boundaries to enable other teams to build agentic products on top of a shared foundation
Influence architecture, technical direction, and engineering standards beyond your immediate team

What we offer

Certain roles may be eligible for benefits and other compensation

Fulltime

Senior Software Engineer, Data Infrastructure & AI

Fullstory Anywhere is one of Fullstory's three primary product verticals, and it...

Location

United States , Atlanta

Salary:

160000.00 - 170000.00 USD / Year

Fullstory

Expiration Date

Until further notice

Requirements

Significant experience building and operating high-throughput data pipelines (batch and/or streaming) in a major cloud platform, including work with cloud data warehouses like BigQuery, Snowflake, or Databricks.
Proficiency in Go, Python, Java or a similar language.
Hands-on experience with data transformation tooling such as dbt, with a strong understanding of data modeling and pipeline observability.
Familiarity with LLM integration patterns and evaluation approaches (e.g., LangSmith, Vertex AI, or comparable frameworks), or demonstrated ability to ramp quickly in applied AI.
A track record of owning major system areas end-to-end: driving architectural decisions, maintaining production health, and improving reliability over time.

Job Responsibility

Maintain, extend, and scale Go microservices that transform and deliver Fullstory session data into customer warehouses and power the team's MCP server that enables AI agent integrations.
Develop and maintain dbt models and pipeline orchestration to ensure timely, fault-tolerant data migrations across hundreds of customer destinations.
Define evaluation frameworks for LLM outputs using tools like Langsmith and Vertex AI, ensuring AI-powered customer agents produce accurate, useful results.
Investigate and resolve production incidents across the data pipeline, implementing systemic fixes that prevent entire classes of failure from recurring.
Write technical design documents that drive consensus on architectural changes, proactively surfacing scaling bottlenecks, edge cases, and cross-team dependencies.
Demonstrate sound technical judgment by de-risking work through spikes, taking on tech debt deliberately, and knowing when to escalate versus dig in.

What we offer

Flexibility and Connection
flexible PTO policy
annual company-wide closure
Benefits
paid parental leave
Bereavement leave, including miscarriage/pregnancy loss
Learning opportunities
annual learning subsidy
Productivity support
monthly productivity stipend

Fulltime

Senior Software Engineer (Agentic AI) - Python

We are looking for a Senior Software Engineer to join the AI Health Companion st...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

4+ years of experience as a software engineer
At least one significant experience using Python
Understand and promote best practices related to the software development life cycle (automated testing, CI/CD, DevOps)
Product-oriented and comfortable guiding teammates to suggest tradeoffs
Ability to adapt to the most efficient technologies to solve issues
Comfortable speaking and writing in English in day-to-day work

Job Responsibility

Design, ship, and operate production-grade agentic systems that answer key health challenges for patients
Partner with data scientists to design and implement evaluation pipelines, security/safety guardrails, and metrics
Validate hypotheses quickly with offline evaluation datasets and A/B tests on real traffic
Develop and maintain core agentic capabilities including memory, reasoning orchestration, and tool adapters
Own performance, observability and security: monitoring dashboards, SLO/SLI, security posture
Ensure privacy and security by design
Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: additional leave on top of legal parental leave
Free mental health and coaching services through partner Moka.care
For caregivers and workers with disabilities: adaptation of remote policy, extra days off for medical reasons, psychological support
Work from abroad up to 10 days per year
Up to 14 days of RTT
Subsidy to refund part of membership to a sport club or creative class
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
50% reimbursement of public transport subscription
Relocation support in case of international mobility

Fulltime

Senior Software Engineer (Agentic AI)

Radancy is the global leader in talent acquisition software, helping enterprises...

Location

Austria , Vienna

Salary:

Not provided

Radancy

Expiration Date

Until further notice

Requirements

5+ years of experience building and operating production backend systems, with hands-on exposure to AI/ML-powered applications preferred
Strong proficiency in a strongly typed language such as Scala, Java, or similar strongly preferred
Experience integrating LLM APIs, embedding models, or ML inference services into distributed systems
Experience building or consuming agent frameworks (e.g., Google ADK, LangGraph, or AutoGen) to orchestrate multi-step, tool-using AI agents in production environments
Familiarity with Model Context Protocol (MCP) or similar tool-serving standards
Practical understanding of NLP, LLM behavior, prompt design, retrieval-augmented generation (RAG), and structured output patterns
Experience deploying and scaling AI-enabled services in AWS/GCP cloud environments
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Experience designing highly concurrent, fault-tolerant systems using async processing, queues, pub/sub, or event-driven architectures
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform or similar), and automated deployment workflows

Job Responsibility

Architect, build, and operate cloud-native backend services that power AI-driven recruiter workflows
Design and implement agentic AI systems using frameworks such as Google ADK, LangGraph, or similar, building multi-step reasoning loops, tool-use pipelines, and agent-to-agent (A2A) communication patterns for production recruiter automation
Build, deploy, and maintain MCP servers to expose backend capabilities as structured tool endpoints consumable by AI agents, ensuring schema correctness, session management, and tenant-safe execution
Design and deploy scalable AI/LLM services using containerization and orchestration technologies in cloud environments
Integrate LLM APIs, embedding services, and ML inference endpoints into distributed systems with strong API design, versioning, and fault tolerance
Implement asynchronous processing, event-driven architectures and durable state management for AI workflow orchestration
Build and maintain CI/CD pipelines to automate testing, deployment, and monitoring of AI-enabled services
Establish observability practices (metrics, tracing, logging, alerting) to monitor model performance, latency, cost, and reliability in production
Optimize inference workloads for performance, scalability, and cost efficiency, including autoscaling and concurrency management
Partner with Data Science to bring models to production, implement evaluation pipelines, and support model lifecycle management