Staff Software Engineer (Kafka Streaming) Job at Bazaarvoice (Bengaluru)

Senior Staff Software Engineer

As a Senior Staff Software Engineer, you will join a highly performing team of e...

Location

United States , New York

Salary:

156400.00 - 225000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science/Mathematics or a similar field
12+ years of software engineering experience in Java programming language (preferably JDK17 or higher)
5+ years of experience developing and designing data applications and data pipelines
7+ years of experience crafting microservices and scalable products, utilizing diverse cloud platforms (ideally AWS)
Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing
Ability to work independently and oversee entire projects or significant parts, focusing on completing the tasks on time
Proven ability to research and become proficient in new technologies
Strong analytical and problem-solving skills, with meticulous attention to detail and a dedication to continuous improvement
Proficiency in constructing detailed software architecture diagrams
Interpersonal skills and ability to interact and work with staff at all levels

Job Responsibility

Design and build high-performance, reliable, and scalable reporting APIs and data pipelines
Lead high-level architecture discussions and planning sessions work with ad measurement, revenue and addressability data
Work with various teams of engineers building software in a collaborative development process
Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively
Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent
Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team
Responsible for conducting technical interviews as needed, ensuring a consistently high bar for engineering excellence and performance standards
Responsible for mentoring and guiding junior engineers.

What we offer

discretionary short-term and long-term incentives

Fulltime

Staff Data Engineer

As a Staff Data Engineer, you will be leading the architecture, design and devel...

Location

United States; Canada , Remote

Salary:

Not provided

1Password

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of professional software engineering experience
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing
Experience with Big Data query engines such as Hive, Presto, Trino, Spark
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

Job Responsibility

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages
Build scalable data pipelines using best-in-class software engineering practices
Develop optimal data models for storage and retrieval, meeting critical product and business requirements
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions
Influence and evangelize high standard of code quality, system reliability, and performance.

What we offer

Maternity and parental leave top-up programs
Generous PTO policy
Four company-wide wellness days
Company equity for all full-time employees
Retirement matching program
Free 1Password account
Paid volunteer days
Employee-led inclusion and belonging programs and ERGs
Peer-to-peer recognition through Bonusly

Fulltime

New

Staff Software Engineer (Kafka Streaming)

We are building our next-generation Data Enrichment Platform and we need a heavy...

Location

India , Bengaluru

Salary:

Not provided

Bazaarvoice

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
At least 5 years of deep production expertise in Scala or Java (concurrency, memory management, GC tuning)
Deep JVM knowledge required
5+ years hands-on with the Kafka ecosystem (Apache Kafka, Kafka Streams, Kafka Connect, Flink, Spark)
Proven track record of designing resilient systems under heavy load
Mastery of the AWS ecosystem (MSK, EMR, Athena, Lambda)
Experience with Terraform
Experience with Kubernetes

Job Responsibility

Architect high-throughput pipelines
Solve complex latency challenges
Define standards for a robust Lakehouse architecture
Lead design of distributed streaming architectures using Kafka Streams, Spark, and Flink
Build roadmap for transition to Lakehouse architecture
Dive deep to identify system bottlenecks
Own stability of pipelines processing massive events per second
Solve for data integrity and low latency
Drive culture of reliability through robust monitoring (Datadog/Prometheus), observability, and automated testing frameworks
Proactively identify opportunities to refactor and modernize platform for efficiency and cost-effectiveness

What we offer

Competitive salary
Insurance
Annual leave
Bonuses
Referral rewards

Fulltime

Staff Software Engineer I - Stream Governance

As a Staff Software Engineer, you will be the technical lead for several key ini...

Location

Canada

Salary:

225100.00 - 264500.00 CAD / Year

Confluent

Expiration Date

Until further notice

Requirements

10+ years of relevant software development experience
Technical expertise in large-scale systems engineering or distributed systems
5+ years of experience with designing, building, and scaling distributed systems
Experience running production services in the cloud and being part of oncall rotation
Expertise in cloud-native technology, including networking & security
Prior experience working on AWS, GCP, or Azure and a deep understanding of cloud best practices
Ability to influence the team, peers, and management using effective communication and collaborative techniques
Proven experience in leading and mentoring technical teams
Drive results by removing friction and improving the development stack with urgency and prioritization skills
BS Degree in Computer Science, Engineering, or equivalent experience. An advanced degree in computer science is preferred

Job Responsibility

Develop a cloud-native Stream Governance platform for Kafka and real-time data, which is a multi-tenant, highly available, and scalable service
Architect a complex engineering system from end to end
Partner across engineering and other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform for our customers
Evaluate and enhance the efficiency of our platform's technology stack, keeping pace with industry trends and adopting state-of-the-art solutions
Solve complicated technical projects with high quality and provide technical guidance to the team in specialized areas
As a vital member of our team, take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running on 90+ AWS, GCP, and Azure regions
Enhance the stability, performance, scalability, and operational excellence across multiple critical systems

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

Fulltime

Member of Technical Staff - Data Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for i...

Location

United States , New York

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
OR equivalent experience
4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL
Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc
3+ years experience with data governance, data compliance and/or data security
2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc
2+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security

Job Responsibility

Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values

Fulltime

New

Member of Technical Staff - Data Platform

If you are excited by the challenge of designing distributed systems that proces...

Location

United States , Mountain View; Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Proficiency in Python, Scala, Java, or Go
Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake)
Experience architecting Lakehouse environments at scale (using Delta Lake, Iceberg, or Hudi)
Experience building internal developer platforms or "Data-as-a-Service" APIs
Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing
Experience with container orchestration (Kubernetes) for deploying data applications
Experience enabling AI/ML workloads (Feature Stores, Vector Databases)

Job Responsibility

Core Platform Engineering: Design and build the underlying frameworks (based on Spark/Databricks) that allow internal teams to process massive datasets efficiently
Distributed Systems Architecture: Modernize our data stack by moving from batch-heavy patterns to event-driven architectures
Unstructured AI Data Pipelines: Architect high-throughput pipelines capable of processing complex, non-tabular data (documents, code repositories, chat logs) for LLM pre-training, fine-tuning and evaluations datasets
AI Feedback Loops: Engineer the high-throughput telemetry systems that capture user interactions with Copilot
Infrastructure as Code: Treat the data platform as software. Define and deploy all storage, compute, and networking resources using IaC (Bicep/Terraform)
Data Reliability Engineering: Move beyond simple "validation checks" to build automated governance and observability systems
Compute Optimization: Deep-dive into query execution plans and cluster performance. Optimize shuffle operations, partition strategies, and resource allocation

Fulltime

Principal Software Engineer

We are seeking a Principal Software Engineer to provide deep technical leadershi...

Location

India

Salary:

Not provided

Bugcrowd

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience, with demonstrated impact at scale
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience in the cybersecurity domain or security-centric platforms is strongly preferred
Deep expertise in cloud-native architecture, microservices, and API design
Proven experience designing and owning large-scale, cross-system integrations
Strong understanding of AI systems, platform scalability, security, and reliability
Experience with event-driven architectures (Kafka or equivalent)
Familiarity with enterprise UI frameworks and their integration with backend systems
Exceptional technical leadership and architectural decision-making skills
Strong background in agile delivery, backlog planning, and stakeholder communication

Job Responsibility

Define and own API-first, cloud-native architecture standards, service patterns, and integration frameworks across the platform
Lead the organization-wide transition to cloud-native and service-oriented architectures, ensuring scalability, security, and operational excellence
Act as the principal technical authority for backend systems and third-party integrations across the engineering organization
Drive long-term technical strategy and architectural decision-making aligned with business and platform goals
Lead modernization efforts toward a highly reliable, event-driven, and observable platform
Ensure high availability, performance, stability, and fault tolerance across all integration workflows
Establish best practices for resiliency, data consistency, and system scalability
Bring deep expertise in Kafka or similar event streaming technologies and their use in large-scale distributed systems
Provide strategic leadership in the adoption and integration of AI-powered tools and systems, with a focus on measurable business outcomes
Guide architectural decisions related to AI scalability, security, and reliability in production systems

Fulltime

Staff Software Engineer, Social Graph

We are seeking a Staff Software Engineer with deep expertise in graph theory, gr...

Location

United States , San Francisco

Salary:

181000.00 - 271000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of industry experience, including significant experience at senior / staff / principal levels
Demonstrated expertise launching and scaling graph-based applications in production
Deep understanding of graph theory, graph algorithms (e.g., traversal, clustering, centrality), and modern graph data structures
Expert-level experience with graph databases (Neo4j, TigerGraph, JanusGraph, DGL-backed systems, etc.) and efficient graph querying
Proven ability to design high-scale pipelines for ingesting and transforming social or behavioral data
Experience with distributed streaming frameworks (Kafka, Flink, Spark Streaming)
Hands-on experience incorporating graph-derived features into recommendation, ranking, trust, or safety models
Familiarity with Graph Neural Networks (GNNs), graph embeddings, or graph-based ranking systems
Strong product intuition and ability to articulate how graph systems drive business outcomes
Ability to influence architectural direction and mentor teams

Job Responsibility

Serve as the technical lead for initiatives related to social graph modeling, storage, retrieval, and computation
Architect and scale graph databases and graph query systems capable of supporting billions of nodes and edges with low-latency performance
Design and ship pipelines for ingesting, cleaning, and transforming social and behavioral data into graph structures
Partner with ML teams to productionize graph-based features, including embeddings, similarity signals, trust metrics, and GNN-powered ranking features
Lead the development of graph-informed recommendation, trust, and safety systems, ensuring models reflect real-world connectivity patterns
Define and implement feature engineering strategies leveraging graph topology (e.g., mutual connections, influence scoring, community structure)
Contribute to architecture decisions related to streaming systems (Kafka, Flink, Spark Streaming) and real-time graph updates
Mentor engineers and guide best practices on graph design, distributed systems, feature computation, and ML integration
Collaborate with Product to translate graph capabilities into business-impacting features that drive trust, engagement, and discovery
Ensure reliability, scalability, observability, and data quality in all graph-related systems

What we offer

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs
Volunteering program
Equity

Fulltime

Staff Software Engineer (Kafka Streaming)

Bazaarvoice

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
February 17, 2026

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