WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

About the Team

The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.

Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.

This role is focused on building foundation for deploying AI-enabled use cases across company operations.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000

Internal leveling code: IC8

Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

What You’ll Do:

As a Senior Backend Engineer on the Avatar Marketplace team, you will be building an international marketplace for millions of virtual items that users acquire to customize their avatars and identities on the Roblox platform. You will design, implement, and operate the frameworks and services you and the team build that help control the supply and demand of the Roblox economy.

The team is responsible for building systems that will help content creators become more successful sellers. With millions of users, we are looking for an experienced engineer who is passionate about designing and building scalable systems for both sides of the marketplace. The Marketplace Foundation team's focus is to provide reliable and scalable solutions for critical systems supporting both Avatar Marketplace creators and users. 

We aim to invent new and evolve existing core concepts to support new and future use cases in a holistic manner, such as Bundles, Limiteds, and Price Optimization. We help the creators to improve their earning while scaling Roblox's economy. The team is also responsible for ensuring 10x scalability headroom on critical Marketplace systems, improving the efficiency, enhancing fault tolerance and decreasing the number and time to resolution of production customer support tickets related to these systems. 

You will:

• Design and architect scalable, reliable, and fault-tolerant distributed systems, including microservices, message queuing systems, distributed databases, and cloud-based solutions.
• Implement high-quality and dependable code with thorough unit and integration tests.
• Develop backend systems to ensure the seamless and efficient operation of our services.
• Troubleshoot and resolve intricate technical issues within distributed systems.
• Optimize system performance, minimize latency, and maximize throughput.
• Collaborate effectively with cross-functional teams, including product managers, research scientists, and other engineering teams.
• Mentor and guide junior engineers, fostering continuous learning and professional development.
• Actively participate in code reviews, architectural discussions, and technical design sessions.
• Establish and advocate for best practices throughout the software development lifecycle.

You Have:

• 6+ years of professional experience in software development, with a significant focus on distributed systems.
• A deep understanding of core distributed systems concepts, including the CAP theorem, consistency models, concurrency control, fault tolerance, and consensus algorithms (Paxos, Raft, PBFT).
• Proficiency in one or more systems programming languages such as C#, Go, Rust, Java, C++, or Python.
• Strong practical experience with containerization (Docker) and orchestration tools (Kubernetes, Terraform, Helm).
• Experience with big data technologies such as Hadoop, Spark, and Kafka, and distributed databases like Cassandra and MongoDB.
• Familiarity with monitoring and observability tools such as Grafana, Datadog, Prometheus, and the ELK stack.
• Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving complex challenges.
• Experience defining technical vision and providing technical leadership.
• A willingness to embrace new technologies and a passion for continuous learning.

Roblox Storage team powers the data foundation behind every experience on the platform. As a Senior Software Engineer for Data Access, you will architect and build the next‑generation managed OLTP data access layer — engineered for extreme scale, global availability, and uncompromising security. You will design core infrastructure capable of serving hundreds of millions of queries per second while ensuring reliable, low‑latency access to data worldwide.

The challenges are large‑scale, highly technical, and business‑critical: you will shape foundational storage systems, evolve platform‑wide scalability and reliability, and provide strong technical leadership that raises engineering quality across teams. This work requires deep innovation, clear architectural vision, and a passion for distributed systems — redefining how Roblox engineers build, access, and trust data at scale.

You will:

• Partner with Product, Engineering, and Security teams to define long‑term strategy and technical requirements for the Data Access platform.
• Lead the architecture, implementation, and operation of our storage Infra‑as‑a‑Service offerings, setting the engineering bar for scalability, reliability, and system hardening across teams.
• Improve and scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time, and high reliability.
• Design and build frameworks or tools to automate development, testing, deployment, management, and monitoring of mission critical services.
• Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plans, oncall alerts, and runbooks while leveraging existing technology stack.
• Give a high level of attention to creating high quality and reusable code, keeping development continuous without compromising site reliability.
• Improve SLAs across the platform and reduce end‑to‑end rollout time for critical storage and data-access features.

You have:

• Strong experience designing and delivering large-scale distributed systems handling millions of real-time requests per second.
• Deep data management knowledge in one or more of the following technologies: RDBMS (CockroachDB, SQL Server, Postgres, MySQL), Caching (Redis), Kafka, KV store (DynamoDB, Cassandra).
• Strong experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul.
• Strong experience with programming languages like Rust, Go, Java, or C++.
• Experience with telemetry stacks, like Grafana, Prometheus, AlertManager, and Kibana.
• BS degree (or equivalent professional experience) in Computer Science, with at least 3 years of hands-on experience.

Roblox Storage team powers the data foundation behind every experience on the platform. As a Senior/Principal Software Engineer for Data Access, you will architect and build the next‑generation managed OLTP data access layer — engineered for extreme scale, global availability, and uncompromising security. You will design core infrastructure capable of serving hundreds of millions of queries per second while ensuring reliable, low‑latency access to data worldwide.

The challenges are large‑scale, highly technical, and business‑critical: you will shape foundational storage systems, evolve platform‑wide scalability and reliability, and provide strong technical leadership that raises engineering quality across teams. This work requires deep innovation, clear architectural vision, and a passion for distributed systems — redefining how Roblox engineers build, access, and trust data at scale.

You will:

• Partner with Product, Engineering, and Security teams to define long‑term strategy and technical requirements for the Data Access platform. 
• Lead the architecture, implementation, and operation of our storage Infra‑as‑a‑Service offerings, setting the engineering bar for scalability, reliability, and system hardening across teams.
• Improve and scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time, and high reliability.
• Design and build frameworks or tools to automate development, testing, deployment, management, and monitoring of mission critical services.
• Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plans, oncall alerts, and runbooks while leveraging existing technology stack.
• Give a high level of attention to creating high quality and reusable code, keeping development continuous without compromising site reliability.
• Improve SLAs across the platform and reduce end‑to‑end rollout time for critical storage and data-access features.

You have:

• Strong experience designing and delivering large-scale distributed systems handling millions of real-time requests per second.
• Deep data management knowledge in one or more of the following technologies: RDBMS (CockroachDB, SQL Server, Postgres, MySQL, RDB), Caching (Redis), Kafka, KV store (DynamoDB, Cassandra).
• Strong experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul.
• Strong experience with programming languages like Rust, Go, Java, or C++.
• Strong scripting and test automation abilities.
• Experience with telemetry stacks, like Grafana, Prometheus, AlertManager, and Kibana.
• BS degree (or equivalent professional experience) in Computer Science, with at least 6 years of hands-on experience.

Position Overview

We are seeking an OSS Test & Automation Engineer to join the team responsible for developing our core network platform – OSS. In this role, you will act as the primary owner of OSS workflow automation development and test engineering. Your primary focus will be to build, test, document and maintain automation processes executed within the OSS platform - covering network operations, service assurance, reporting, and partner integration workflows. At the same time, you will tightly collaborate with internal Service Assurance and Service Delivery teams to gather requirements, transfer knowledge about the developed automation processes, and receive feedback about the required improvements and changes. You are not a pure QA resource since you are an automation developer who also ensures what is built is verifiably correct and operates as expected by the end users. 

Key Responsibilities:

• Design, develop, and maintain automation workflows and orchestration scripts executed within our own OSS platform, covering network operations, fault management, service assurance, reporting, and inventory
• Own and grow the automation backlog - identify manual, error-prone, or repetitive operational processes as candidates for automation, estimate effort, and drive items through to production delivery
• Design, implement, and maintain automated test suites that validate automation workflows under both nominal and fault/edge-case conditions
• Execute test plans, document results, track defects, and drive resolution in collaboration with all involved internal teams
• Produce clear test documentation of test plans, test cases, test reports, and coverage summaries
• Cooperate with internal Service Assurance and Service Delivery teams by fostering knowledge transfer, gathering requirements, and jointly identifying next steps in developing new automated workflows and processes
• Proactively identify automation failures, performance degradations, or reliability issues and drive root-cause analysis and remediation
• Continuously improve automation reliability, coverage, and maintainability based on operational feedback and incident learnings
• Act as first line contact and support line for internal Service Assurance and Service Delivery concerning OSS automated processes and workflows already introduced into production
• Maintain clear, accurate documentation for all automation workflows introduced 

Qualifications 

Education:

Bachelor’s degree in computer science, engineering, telecommunications or a related field — or equivalent professional experience.

Experience & Qualifications:

• A minimum of 3+ years of professional experience in automation engineering, test engineering, or a combined software/QA role, preferably in telecom, network operations, or OSS/BSS systems.
• Proven experience designing and building automation workflows, orchestration scripts, or operational automation pipelines — not just test scripts
• Solid proficiency in Python or any other scripting language and familiarity with modern test frameworks (e.g. pytest, Robot)
• Familiarity with at least one workflow orchestration or BPM tool (e.g. Camunda, Apache Airflow, Ansible, or similar)
• Ability to query and manipulate data in SQL and/or NoSQL databases
• Strong command of test strategy design, test case development, test automation frameworks, and defect lifecycle management
• Familiarity with telecom OSS concepts like FCAPS, TMF eTOM framework or similar operational support system concepts
• Practical exposure to network operations workflows and/or service assurance processes
• Working knowledge of NETCONF/YANG, SNMP, or TMF Open APIs as integration surfaces for automation workflows
• Familiarity with OSS platforms, NMS/EMS systems, or network simulation tools used for test environment setup
• Hands-on experience integrating automation with REST APIs and event-driven messaging systems (e.g. Kafka, RabbitMQ, SQS)
• Experience embedding quality gates and automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent)
• Practical experience with monitoring and logging tooling (Prometheus, Grafana, ELK stack, or equivalent) for making automated workflows observable in production
• Comfortable developing, deploying, and debugging automation in Linux

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Python (automation, scripting, test frameworks)
• Camunda, Apache Airflow, Ansible, or equivalent BPM/orchestration tooling
• Pytest, Robot Framework, or equivalent
• Postman, requests library, or similar
• GitHub Actions, GitLab CI, Jenkins, ArgoCD
• Prometheus, Grafana, ELK stack, structured logging
• REST, gRPC, Kafka, RabbitMQ, TMF Open APIs, NETCONF/YANG
• Databases:
  • PostgreSQL / MySQL (SQL)
  • MongoDB, Cassandra, or equivalent (NoSQL)
  • InfluxDB or similar (Time-series DBs)
• Docker, Kubernetes (working knowledge for deploying automation workloads)
• Git (GitHub / GitLab)
• Confluence, test case management tools (e.g. TestRail, Xray, or equivalent)

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Senior Service Reliability Engineer

Location: Aliso Viejo | Hybrid 

As a part of Sony Computer Entertainment, the Gaming, Developer and Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Service Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring the operational readiness and stability.

Responsibilities

• Taking a leadership role in ongoing improvements in Reliability and Scalability

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement

• Influence the architecture and implementation of solutions within the division

• Mentor more junior SRE staff and enable them for success

• Act as a voice to represent SRE in the wider organization

• Represent the operational scalability of solutions in the wider division

• Lead small-scale projects from inception to implementation

• Design platform-wide solutions and provide technical leadership during their implementation

• Demonstrate a high-level of organizational skills and initiative in the role

Qualifications: 

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role.

• Bachelor’s degree or equivalent expereince

• Strong interpersonal, written and verbal communication skills.

• Available to be scheduled in on-call rotation.

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.

• Development experience in one or more of the following programming languages:

  • Python (preferred)

  • Bash, Go, Java, C++, or Rust

• In addition, experience with at least 3 of the following topics:

  • Distributed data storage at scale (Hadoop, Ceph)

  • NoSQL at scale (MongoDB, Redis, Cassandra)

  • Data Aggregation technologies. (ElasticSearch, Kafka)

  • Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability

  • Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets 

  • Kubernetes and/or AWS (deployment and management)

  • Software Distribution (Package management and distribution at scale)

  • Configuration Management (ansible, saltstack, puppet, chef)

  • S/W Performance analysis and load testing (QA or SDET experience: a plus)

Service Reliability Engineer

Do you want to use transformative technologies to achieve greater scalability and efficiency? Do you want a career that combines your engineering skills and your passion for video gaming? Are you fascinated by the technologies behind the Internet and cloud computing? If so, join us!

As a part of Sony Computer Entertainment, the Gaming, Developer, and Future Technology group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service, and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring operational readiness and stability.

Requirements

• Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
• Strong written and verbal communication skills; able to work effectively with engineers and stakeholders.
• Willingness to participate in an on-call rotation and lead/assist in incident response
  
  

Skills & Knowledge

• 5+ years of experience in software development and/or Linux systems administration in production environments.
• BS in Computer Science or equivalent experience required. 
• Hands-on experience with Kong API Gateway or similar enterprise API gateway technologies.
  • Operate and troubleshoot the gateway in production: routing/services, plugins, TLS/cert management, authn/authz, and performance/latency tuning.
  • Own lifecycle and reliability practices: upgrades and configuration changes (IaC/GitOps), safe rollouts/rollback, monitoring, etc.
• Hands-on experience with Service Mesh technologies such as Istio, Linkerd or Kuma.
• Strong understanding of traffic management concepts, including routing, retries, timeouts, circuit breaking and traffic shifting (canary, blue/green)
• Familiarity with mTLS, service-to-service communication, and zero-trust networking principles
• Experience troubleshooting service mesh-related issues, including latency, connectivity, and policy misconfigurations
• Development experience in one or more of the following programming languages:
  • Python (preferred)
  • Bash, Go, Java, C++, or Rust

In addition, experience with:

• Distributed data storage at scale (Ceph, Rook)
• NoSQL at scale (MongoDB clusters, sharded Redis, Cassandra)
• Data Aggregation technologies. (ElasticSearch, Kafka)
• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
• Observability and incident management: Prometheus, Grafana, alerting/on-call workflows, post-incident review.
• Container orchestration (Kubernetes, Rancher) at scale
• Release Engineering (Package management and distribution at scale)
• S/W Performance analysis and load testing (QA or SDET experience: a plus)

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

ABOUT THE TEAM

Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub-surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets.

ABOUT THE JOB

As a Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.

In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.

You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.

REQUIRED QUALIFICATIONS

• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

At MNTN, we're looking for a Senior Software Engineer for our Attribution squad, the team behind Verified Visits™, our proprietary attribution system that helps brands finally answer the age-old marketing question: "Did this actually work?" Spoiler: it did, and you'll be a part of the team making it happen.

Our microservices handle hundreds of millions of requests per day, powering a real-time behavioral marketing platform that drives performance in cross-device advertising. We heavily utilize open source technology alongside in-house solutions to meet the low-latency demands of rapid-response advertising.

What You'll Do

• Design and build a robust attribution platform that reaches the right audience, anywhere, anytime
• Build high-volume Kotlin services that are reliable at scale on GCP/GKE
• Design and own data pipelines using SQLMesh, Airflow, and BigQuery to power attribution analytics and downstream products
• Write and optimize SQL against large datasets for both production services and analytical workloads
• Collaborate with and explain complex technical issues to product teams and partner engineering squads
• Mentor engineers across the team and raise the bar on design, testing, and operational quality
• Optimize and enhance existing services and pipelines

What Success Looks Like

• Within 90 days, you've ramped on the Attribution stack, shipped meaningful changes to production, and are comfortable navigating our service topology and data model
• You own new data pipelines end-to-end from requirements through SQLMesh/Airflow design, deployment, and on-call. You partner with data analysts to make attribution data trustworthy and easy to consume
• You're a trusted technical voice in cross-squad discussions, helping shape attribution-adjacent work and mentoring engineers through design and code review

What You'll Bring

• 5+ years of backend development experience, ideally in Kotlin (Java or Scala also welcome)
• 3+ years writing production SQL: query optimization, window functions, and schema design against large datasets
• Experience designing and operating data pipelines with tools like SQLMesh, Airflow, dbt, or similar
• Experience with cloud data warehouses (BigQuery preferred; Snowflake, Redshift, etc. also relevant)
• Experience with microservice architectures running on Kubernetes (GKE preferred)
• Experience with event streaming (Kafka or similar)
• Python experience for scripting and pipeline work
• Strong knowledge of modern design patterns and distributed systems fundamentals
• Comfortable writing effective unit and integration tests with frameworks
• Proficient with Git and a Linux/UNIX environment
• Knowledge of NoSQL databases such as Cassandra (preferred)
• Experience mentoring engineers and influencing technical direction across a team

Job Summary

The Sr. Software Development Engineer will be part of an agile development team, building and working on transportation management services. The Sr. Software Developer develops information systems by designing, developing, and installing software solutions that are scalable for a high transaction environment.

Job Description:

• Works with an agile development team that designs, develops and maintains scalable services.

• Responsible for writing technical design specifications.

• Recommend and develop an architectural and detailed design that is used by other members of the development teams.

• Coach the team on software best practices (design, coding, troubleshooting, work breakdown, work estimation, refactor strategies, automated testing, etc.)

• Work closely with the other teams to optimize system architecture and project efficiency.

• Partner with our Product Owner to plan work and prioritization.

• Maintain high standards of software quality within the team by establishing good practices and habits.

• Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.

• Collaborate and add value through participation in peer code reviews, providing comments and suggestions.

• Analyze and resolve technical and application problems.

• Regular practice of CI/CD.

• Support, maintain and document software functionality.

• Research and evaluate a variety of software products; create PoCs as necessary to demonstrate new ideas and technologies.

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job.  Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills and Abilities:

• Communication skills: must be able to articulate and have a strong technical vocabulary

• Must be able to coach the team on software best practices (design, coding, troubleshooting, work breakdown, work estimation, refactor strategies, automated testing, etc.)

• Strong knowledge of system architecture, best practices and design patterns

• Evaluate and identify new technologies for implementation

• Strong background with .NET Core, C#, Kubernetes / Docker

• Knowledge and experience in Distributed systems, MicroServices, SOA and n-tier architectures

• Strong knowledge of Relational and non-relational DBs

• Knowledge of REST API, event-driven architecture applications, caching, scaling, security, etc.

• Strong knowledge of Managed Memory Architecture / Garbage Collector / Cache Management

• DDD and event driven architectures a plusAbility to inspire team

• Expert knowledge of and ability to communicate software architecture and design principles

• Expert in writing testable software

• Expert in design

• Strong knowledge in CI/CD systems

• Proficient with Object Oriented programming

• Experience with source control systems(git)

• Experience with agile development methodologies

• Experience with debugging, performance profiling and optimization

• Strong initiative to find ways to improve solutions, systems

• Attention to quality through unit tests, integration tests, and code reviews

• Understanding of queue processing(MSMQ , RabbitMQ, Kafka)

• NoSQL databases(Elastic , Cassandra , Mongo )

• Relational Database Experience (MSSQL, Postgres)

Experience Requirements: 

• Requires a minimum of 5 years of experience with software development, design patterns, software architecture

• Experience with e-commerce payment systems preferred

• Experience in Distributed systems, MicroServices

• Experience with REST API, event-driven architecture applications, caching, scaling, security

• Experience with Relational and non-relational DBs

• 5+ Years of experience working with C#, .NET Core

• Experience using Kubernetes, Helm, and Docker

• Experience building dashboards and alerts

• Experience using Prometheus, Grafana, Elasticsearch, Kibana

• Experience in the CI/CD

• Experience as a mentor, tech lead or leading an engineering team

• Experience working with RabbitMQ, Redis, Kafka

Education Requirements: 

Bachelor’s Degree required. An emphasis in Computer Science is preferred

Judgment/Reasoning Ability:  Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy.  Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner. 

Physical Demands (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)   While performing the duties of this job, the team member is regularly required to talk and hear. The team member is frequently required to sit; use hands and fingers, bend, stoop and reach with hands and arms.  May require walking primarily on a level surface for periodic periods throughout the day. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. Proper lifting techniques required. May include lifting up to 25 pounds. 

Work Environment:  The noise in the work environment is usually moderate.  Other factors are:

• Hectic, fast-paced with multi-level distractions

• Professional, yet casual work environment

• Office / Warehouse environment

• Ability to work extended hours as required

#LI-JC1

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain Data Unification, and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native Data Unification capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary: 

Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement.

Job Duties and Responsibilities:

• Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. 
• Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals.
• Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
• Provide high-quality customer engineering assistance that results in high customer satisfaction.
• Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale.
• Attend meetings with clients to analyze, troubleshoot and diagnose problems.
• Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback.
• Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention.
• Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption.
• Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives.
• Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact.
• Participate in a 24/7 on-call rotation, providing after-hours support for critical issues.
• Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base. 
• Proactively communicate to avoid escalations and negative customer satisfaction.
• Author technical documents on common issues and solutions to build the knowledge base and participate in communities.
• Support weekend shifts on a rotational/as-needed basis if requested.
• Lead support initiatives for the betterment of the organization and team.
• Other duties and responsibilities as assigned. 

Skills You Must Have: 

• Bachelor's degree in Computer Science or equivalent field of study. 
• 3+ years of experience with on-premise or cloud Data Unification solutions.
• 3+ years of experience supporting enterprise products in SaaS in a customer-facing role.
• 3+ years of experience with Public Clouds AWS/GCP/Azure and their services.
• 3+ years of experience with REST APIs and integration tools.
• 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications.
• Experience in data management, master data management, analytics, and big data platforms and technologies.
• Experience in hands-on programming (ex. Python, Java).
• Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
• Experience with RESTful API development and debugging, Postman.
• Experience with web UI development with JavaScript frameworks.
• Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.

Skills That Are Nice to Have:  

• MS in computer science or equivalent experience preferred.
• Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain Data Unification, and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native Data Unification capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary: 

Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement.

Job Duties and Responsibilities:

• Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. 
• Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals.
• Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
• Provide high-quality customer engineering assistance that results in high customer satisfaction.
• Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale.
• Attend meetings with clients to analyze, troubleshoot and diagnose problems.
• Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback.
• Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention.
• Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption.
• Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives.
• Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact.
• Participate in a 24/7 on-call rotation, providing after-hours support for critical issues.
• Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base. 
• Proactively communicate to avoid escalations and negative customer satisfaction.
• Author technical documents on common issues and solutions to build the knowledge base and participate in communities.
• Support weekend shifts on a rotational/as-needed basis if requested.
• Lead support initiatives for the betterment of the organization and team.
• Other duties and responsibilities as assigned. 

Skills You Must Have: 

• Bachelor's degree in Computer Science or equivalent field of study. 
• 3+ years of experience with on-premise or cloud Data Unification solutions.
• 3+ years of experience supporting enterprise products in SaaS in a customer-facing role.
• 3+ years of experience with Public Clouds AWS/GCP/Azure and their services.
• 3+ years of experience with REST APIs and integration tools.
• 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications.
• Experience in data management, master data management, analytics, and big data platforms and technologies.
• Experience in hands-on programming (ex. Python, Java).
• Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
• Experience with RESTful API development and debugging, Postman.
• Experience with web UI development with JavaScript frameworks.
• Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.

Skills That Are Nice to Have:  

• MS in computer science or equivalent experience preferred.
• Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.

The Challenge

We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.

Your Mission

• Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
• Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
• Define metrics, evaluation frameworks, and observability standards for agentic systems.
• Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adopt architecture governance standards and best practices.
• Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
• Design and build high-performance distributed systems capable of supporting enterprise workloads.
• Recognize industry trends and proactively influence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.

Architecture Leadership

• Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
• Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
• Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed for high availability, performance, and ease of operations.

Strategic Technology Leadership

• Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
• Lead engineering initiatives to improve platform capabilities and engineering productivity.
• Participate in strategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

Engineering Excellence

• Recommend technologies and frameworks that increase engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.

You Are

• A highly skilled technical leader with strong architectural vision.
• An analytical thinker with strong problem-solving and system design skills.
• A strong communicator capable of influencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improving technical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experience with deep expertise in distributed systems.
• Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designing distributed, asynchronous, and event-driven architectures.
• Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
• Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
• Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications with search platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers and building strong engineering practices.
• Strong ability to create and maintain architecture documentation and system design artifacts.
• Excellent leadership, verbal, and written communication skills.

Extra Impressive  

• Master’s degree in Computer Science, Engineering, or related field.
• Experience running large-scale web services and distributed platforms.
• Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
• Experience with cloud-native and serverless architectures.
• Experience designing graph-based data models and graph architectures.
• Experience building AI-native platforms or LLM-powered systems.

The Challenge

We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.

Your Mission

• Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
• Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
• Define metrics, evaluation frameworks, and observability standards for agentic systems.
• Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adopt architecture governance standards and best practices.
• Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
• Design and build high-performance distributed systems capable of supporting enterprise workloads.
• Recognize industry trends and proactively influence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.

Architecture Leadership

• Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
• Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
• Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed for high availability, performance, and ease of operations.

Strategic Technology Leadership

• Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
• Lead engineering initiatives to improve platform capabilities and engineering productivity.
• Participate in strategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

Engineering Excellence

• Recommend technologies and frameworks that increase engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.

You Are

• A highly skilled technical leader with strong architectural vision.
• An analytical thinker with strong problem-solving and system design skills.
• A strong communicator capable of influencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improving technical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experience with deep expertise in distributed systems.
• Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designing distributed, asynchronous, and event-driven architectures.
• Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
• Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
• Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications with search platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers and building strong engineering practices.
• Strong ability to create and maintain architecture documentation and system design artifacts.
• Excellent leadership, verbal, and written communication skills.

Extra Impressive  

• Master’s degree in Computer Science, Engineering, or related field.
• Experience running large-scale web services and distributed platforms.
• Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
• Experience with cloud-native and serverless architectures.
• Experience designing graph-based data models and graph architectures.
• Experience building AI-native platforms or LLM-powered systems.

This is a full-time remote opportunity. We are considering candidates from US and Canada only. 

The opportunity

Grafana Observability builds end-to-end observability that spans application, infrastructure, database, browser, and mobile. Our Real User Monitoring (RUM) initiative focuses on capturing, storing, and querying high-volume user interaction data from browsers and mobile devices, enabling teams to understand real-world user experiences at scale.

We’re building systems that ingest and process massive amounts of telemetry—sessions, events, traces, and logs—and make them explorable in real time. This requires deep expertise in high-performance backend systems, columnar storage, and intuitive frontend experiences.

Our solutions are tightly integrated with OpenTelemetry and Grafana Cloud. We care deeply about performance, cost-efficiency, and developer experience across the entire stack—from instrumentation to query layer to visualization.

We value open standards, great developer experience, and doing the hard engineering needed to ship reliable software at scale. You may not meet every requirement below. If this role excites you, please raise your hand.

What you’ll be doing

• Build and evolve fullstack features for RUM, spanning backend services, APIs, storage systems, and frontend user experiences.
• Design and implement systems that ingest, store, and query high-cardinality, high-volume telemetry data using columnar/analytical databases.
• Develop performant query layers and APIs that power real-time exploration of user sessions, traces, and events.
• Contribute to frontend applications that visualize RUM data, enabling users to debug performance issues and understand user behavior.
• Work on data modeling, indexing strategies, and query optimization to ensure low-latency, cost-efficient analytics at scale.
• Collaborate closely with SDK engineers (browser and mobile) to ensure high-quality data ingestion and schema evolution.
• Own projects end-to-end: from design and implementation to deployment, monitoring, and iteration.
• Break down complex, ambiguous problems into incremental deliverables and iterate quickly based on feedback.
• Ensure quality through testing, observability of your own systems, documentation, and smooth upgrade paths.
• Collaborate cross-functionally with backend, frontend, product, and solutions engineering to deliver cohesive observability workflows.
• Support teammates, participate in technical design discussions and help shape the RUM roadmap.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What makes you a great fit

• 5+ years of fullstack engineering experience with strong backend fundamentals
• Backend experience (Go is preferred) and frontend experience, we use TypeScript and React
• Experience building or operating distributed systems in production (e.g., Kafka, WarpStream, ClickHouse, Cassandra, Postgres)
• Familiarity with cloud-native systems (Docker, Kubernetes, AWS, GCP, Azure)
• Experience working with high-throughput, high-cardinality data (logs, metrics, traces, events)
• Strong understanding of data modeling, query optimization, and performance tradeoffs
• Experience designing and building APIs and distributed services
• Experience building data-heavy UIs (dashboards, query tools, debugging interfaces)
• Familiarity with observability concepts (traces, logs, metrics) and/or OpenTelemetry
• Strong communication skills and ability to work in a remote, distributed team
• Pragmatic, self-driven, and c
• omfortable navigating ambiguity
• Customer-focused mindset with a passion for developer experience

Bonus / nice-to-have

• Experience with browser or mobile instrumentation (RUM SDKs, telemetry collection).
• Mobile development experience (iOS or Android) or familiarity with mobile performance and telemetry.
• Contributions to OpenTelemetry or other observability OSS.
• Experience building developer-facing platforms or observability products.
• Familiarity with session replay, sampling strategies, or user behavior analytics systems.

In the United States, the compensation range for this role is $154,445 - $185,334 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

About the Role

We are seeking a Senior Software Engineer to join our Brokerage Platform as a Service and API teams. In this role, you will work on the design and development of high-performance, scalable, and low-latency applications using Java, Kafka, Postgres on AWS. You’ll help build event-driven microservices that enable real-time data processing and high-throughput transaction handling. You will also contribute to optimizing the performance of databases, including strategies like partitioning to support our high-transaction environment.

As a Senior Software Engineer, you will collaborate with other engineers to ensure systems are designed for reliability, scalability, and performance, while focusing on delivering high-quality software in a fast-paced, cloud-native environment.

What You’ll Do

• Design and develop high-performance, multi-threaded applications in Java, optimized for low-latency and high-throughput.
• Build and enhance event-driven microservices to ensure our platform can scale and handle high transaction volumes in real time.
• Contribute to the design and implementation of database partitioning strategies to support distributed, high-transaction environments, ensuring the systems are efficient and scalable.
• Implement and maintain messaging systems (e.g., Kafka) for asynchronous communication across services.
• Collaborate with other engineers to design, implement, and improve CI/CD pipelines, enabling automated, efficient software delivery.
• Write and maintain automated tests to ensure the stability and performance of the system, improving the quality and speed of development.
• Optimize systems for performance and reliability, focusing on key non-functional requirements such as availability, scalability, and fault tolerance.
• Participate in code reviews and mentorship, sharing knowledge and helping junior engineers improve their technical skills.
• Work closely with infrastructure and product teams to ensure the software aligns with business goals and technical requirements

What You’ll Need

• 7+ years of experience in software engineering, with a focus on Java and building high-performance systems
• Strong experience with multi-threading, concurrent programming, and designing low-latency systems to handle high throughput efficiently
• Experience in designing and building event-driven microservices using technologies like Kafka or ActiveMQ
• Familiarity with database partitioning and sharding strategies to scale relational and NoSQL databases (e.g., PostgreSQL, MySQL, Cassandra)
• Knowledge of cloud-native architectures and experience with cloud platforms such as AWS
• Hands-on experience in implementing CI/CD pipelines and working with DevOps tools to improve software delivery
• Experience with automated testing frameworks to ensure software quality and performance
• Strong problem-solving skills with the ability to analyze complex systems and optimize them for performance and reliability
• A collaborative mindset, with experience working in agile teams and a strong ability to communicate technical concepts clearly

Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Familiarity with containerization (e.g., Docker) and Kubernetes for managing cloud-based services
• Experience with distributed tracing or performance monitoring tools (e.g., Prometheus, Grafana)
• Experience in financial systems or brokerage platforms, with an understanding of performance and reliability challenges specific to such domains

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is on the lookout for a passionate Associate Principal Linux Systems Engineer who is skilled at building and supporting Linux environments that are highly redundant and scalable.

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• 24x7 Linux operations of our online games, features, and services.
• Hands-on support to the operations of online and development environments.
• Build and plan infrastructure for upcoming releases.

RESPONSIBILITIES

• Hands-on maintenance and administration of Linux based systems.
• Perform patching and support server migrations as needed.
• Develop standard operating procedures to ensure high availability.
• Perform routine system maintenance when needed to resolve issues.
• Support root cause analysis efforts across multiple infrastructure layers.
• Ensure a highly available production environment particularly during system maintenances.
• Administer monitoring services such as Check_MK, Splunk, Grafana and Graphite.
• Provide timely and creative solutions to difficult problems.

REQUIREMENTS

• Bachelor’s Degree in Computer Science or related field, IT certifications, or equivalent experience.
• 10+ years’ experience in a Linux environment using related technologies and standards such as DHCP, DNS, LDAP, Kerberos, CIFS/SMB.
• In-depth hands-on experience with RHEL or CentOS as well as configuration management experience with either Chef, Puppet or Ansible.
• Experience administering systems in a high traffic, multi-system, public facing environment.
• Experience configuring and maintaining Apache servers.
• Experience administering one of the following: Elasticsearch, Cassandra, Mongo, Hadoop (Hive, HDFS, Impala, Oozie), MySQL or PostgreSQL.
• Possess a thorough understanding of network protocols and standards such as TCP/IP, UDP, HTTP/S and SSL/PKI.
• Experience working with major CDN providers.
• Experience scripting in one of the following languages: Bash, Python, PHP, or Perl.
• Experience with REST API automation.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience supporting online game development and production environments.
• General Cisco IOS administration experience for adding removing VLANS and LACP bonds.
• Knowledge of PowerShell.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BW1

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As a Senior Firmware Over The Air (FOTA) Engineer in the Cloud team, you’ll be working with some of the industry’s brightest minds to develop our data solution. The main areas of focus will include data ingestion, ML pipelines, log analytics, visualization, predictive analysis, tools etc. You will design, develop and enhance data applications from prototype to production - including integration and processing of large real-time vehicle data. 

Responsibilities: 

• Design, build, and operate FOTA microservices (campaigns, targeting, packaging, rollout/rollback) using Java/Spring Boot on Kubernetes. 
• Implement secure delivery paths and APIs (gRPC/protobuf and REST) over MQTT/HTTP2; support chunking, resume, bandwidth control, and CDN/S3 storage. 
• Model data across relational stores; integrate queues/streams (Kafka or MQTT) and cache layers (Redis). 
• Instrument services for observability (metrics, tracing, logs) with clear SLOs; drive reliability via canary/phased rollouts and feature flags. 
• Collaborate with firmware/vehicle, mobile, and portal teams; write design docs and lead code reviews and mentoring. 
• Automate with CI/CD (Jenkins/Maven/Gradle), comprehensive testing, and runbooks. 
• Develop multi-region services, tests, and documentation. 
• Evolve system design and architecture to keep up with product's growth and adoption 

Basic Qualifications: 

• MS in Computer Science, Electrical Engineering, or related field 
• 7+ years in backend or distributed systems; 3+ years building cloud microservices at scale. 
• Strong Java/Spring Boot; solid CS fundamentals in concurrency, networking, and fault tolerance. 
• Hands-on with containers and cloud (Docker, Kubernetes; AWS/GCP). 
• API design with gRPC/protobuf and REST; experience with message brokers. 
• Data expertise with SQL and NoSQL; familiarity with Cassandra data modeling. 
• Security foundations: TLS, codesigning/PKI. 
• Proven ownership of production services, on call, and incident response 
• 7+ years of hands-on experience in productionizing platforms and applications. 
• Experience with graph databases, timeseries, NoSQL etc. 
• Experience with predictive analysis or recommendation systems. 
• Experience in building CI/CD framework for the data teams 
• Experience with Experience in production support and troubleshooting 

Preferred Qualifications: 

• Automotive experience: ISO 21434/26262, UDS/CAN, A/B. 
• File/package delivery at scale: multipart/resumable uploads, S3, CDN, delta updates. 
• Observability stack (Prometheus/Grafana/ELK) and APM. 
• Familiarity with Node.js services and Angular portals. 
• Infrastructure as code (Helm/Terraform) and cost/performance optimization. 
• Experience with Kafka Streams or Flink a plus.

Annual Salary Range:

($130,000 - $160,000 DOE), plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.