Kafka Jobs in New Jersey.
All active Kafka roles based in New Jersey.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Solutions Architect - Financial Services (Insurance)
Share this job
FEQ227R170
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Solutions Architect - Financial Services (Insurance)
Share this job
FEQ427R309
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Solutions Architect - Financial Services (Wealth and Asset Management)
Share this job
FEQ227R259
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 8+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Solutions Engineer - GSI's and FinTech Data
Share this job
FEQ227R228
While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.
Mission
Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
- Build and present reference architectures, how-tos, and demonstrate applications for customers
- Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
- Travel to meet with customers in your territory
What we look for:
- 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
- Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP
- Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
- Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Snowflake Architect
Share this job
Who We Are:
Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers—including Fortune 500 companies and U.S. government agencies—Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP® authorized provider to the federal government.
Snowflake Architect
Role Summary:
We are seeking a Snowflake Architect to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.
What You’ll Do:
- Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
- Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
- Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
- Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
- Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
- Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
- Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
- Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
- Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.
What You Need:
- 5+ years of experience in data architecture, warehousing, or administration.
- 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
- Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
- Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
- Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
- Strong understanding of data modeling, schema design, and ELT/ETL best practices.
- Hands-on experience with Python or Java for automation and data pipeline development.
- Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
- Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
- Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).
What's Nice to Have:
- AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
- Experience implementing data governance and lineage solutions.
- Understanding of data mesh and federated data architecture principles.
- Experience in federal or regulated environments where compliance, traceability, and data security are paramount.
Why You’ll Love Working at Exiger:
- High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
- Discretionary Time Off for all employees, with no maximum limits on time off
- Industry leading health, vision, and dental benefits
- Competitive compensation package
- 16 weeks of fully paid parental leave
- Flexible, hybrid approach to working from home and in the office where applicable
- Focus on wellness and employee health through stipends and dedicated wellness programming
- Purposeful career development programs with reimbursement provided for educational certifications
#LI-Hybrid
This is a full-time hybrid opportunity, requiring 2 days a week in office.
Exiger is named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn.
At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused—committed to building technology that makes the world safer, more transparent, and more resilient.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.
Ready to apply?
Apply to Exiger
Cloud Data Architect
Share this job
Who We Are:
Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers—including Fortune 500 companies and U.S. government agencies—Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP® authorized provider to the federal government.
Cloud Data Architect
Role Summary:
We are seeking a Cloud Data Architect / Administrator to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.
What You’ll Do
- Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
- Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
- Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
- Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
- Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
- Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
- Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
- Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
- Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.
What You Need
- 5+ years of experience in data architecture, warehousing, or administration.
- 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
- Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
- Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
- Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
- Strong understanding of data modeling, schema design, and ELT/ETL best practices.
- Hands-on experience with Python or Java for automation and data pipeline development.
- Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
- Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
- Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).
Nice to Have
- AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
- Experience implementing data governance and lineage solutions.
- Understanding of data mesh and federated data architecture principles.
- Experience in federal or regulated environments where compliance, traceability, and data security are paramount.
Why You’ll Love Working at Exiger:
- High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
- Discretionary Time Off for all employees, with no maximum limits on time off
- Industry leading health, vision, and dental benefits
- Competitive compensation package
- 16 weeks of fully paid parental leave
- Flexible, hybrid approach to working from home and in the office where applicable
- Focus on wellness and employee health through stipends and dedicated wellness programming
- Purposeful career development programs with reimbursement provided for educational certifications
#LI-Hybrid
This is a full-time hybrid opportunity, requiring 2 days a week in office.
Exiger is named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn.
At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused—committed to building technology that makes the world safer, more transparent, and more resilient.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.
Ready to apply?
Apply to Exiger