Staff Software Engineer, Metrics and Logging | Databricks | Mountain View, California

 Staff Software Engineer, Metrics and Logging | Databricks | Mountain View, California

Staff Software Engineer, Metrics and Logging

Mountain View, California

RDQ426R299

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

The impact you'll have:

Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily.

Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services.

Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs.

Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats and improving the developer experience.

Improve reliability and cost-efficiency by optimizing log retention, indexing, and query performance to reduce operational overhead.

Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.

What we look for:

BS (or higher) in Computer Science, or a related field.

7+ years of production-level experience in one of: Scala, Rust, Go, Python, Java, C++, or similar languages.

Deep experience in software development, in large-scale distributed systems.

Experience driving complex projects involving multiple teams and stakeholders.

Familiarity with log collection, health monitoring, and observability tools.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$190,900—$253,750 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering/staff-software-engineer-metrics-and-logging-8298247002

Staff Software Engineer, Model Serving | Databricks | San Francisco, California

 Staff Software Engineer, Model Serving | Databricks | San Francisco, California

Staff Software Engineer, Model Serving

San Francisco, California

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency.

As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.

The impact you will have:

Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.

Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.

Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.

Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.

Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.

Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.

Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.

Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.

What we look for:

10+ years of experience building and operating large-scale distributed systems.

Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability).

Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.

Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.

Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems.

Strong communication skills and ability to collaborate across teams in fast-moving environments.

Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

Passion for mentoring, growing engineers, and fostering technical excellence.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering/staff-software-engineer-model-serving--8211647002

Staff Software Engineer, Observability | Databricks | Mountain View, California

 Staff Software Engineer, Observability | Databricks | Mountain View, California

Staff Software Engineer, Observability

Mountain View, California

RDQ426R299

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer in the Observability team, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.

The impact you'll have:

You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily.

You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product.

You will develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics. You will leverage powerful capabilities of Databricks’ own data intelligence platform to push the boundaries of troubleshooting practices in the industry.

You will uplevel monitoring and reliability practices across Databricks engineering, developing opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations.

Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.

What we look for:

BS (or higher) in Computer Science, or a related field.

7+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages.

Experience in software development, in large-scale distributed systems.

Experience driving large projects involving multiple teams

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.

Familiarity with observability infrastructure, monitoring patterns, and reliability practices.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$190,900—$253,750 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering/staff-software-engineer-observability--8328675002

Staff Software Engineer, Search Quality | Databricks | Mountain View, California

 Staff Software Engineer, Search Quality | Databricks | Mountain View, California

Staff Software Engineer, Search Quality

Mountain View, California

RDQ326R95

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration.

As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks’ next-generation Search product. You’ll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You’ll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications — blending traditional information retrieval techniques, representation learning, and neural ranking.

Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks.

The impact you will have:

Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks’ next-generation retrieval experiences.

Identify and solve challenges in ranking, query understanding, and hybrid retrieval — advancing state-of-the-art techniques in vector, keyword, and multimodal search.

Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.

Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.

Drive end-to-end engineering efforts — from early prototyping to production rollout — ensuring correctness, reliability, and measurable improvements to relevance.

Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.

Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.

Shape Databricks’ long‑term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.

What we look for:

10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.

Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.

Strong understanding of relevance metrics and evaluation frameworks.

Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.

Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.

Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.

Strong communication skills and ability to collaborate across teams in fast-moving environments.

Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

Passion for mentoring, growing engineers, and fostering technical excellence.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$165,300—$219,675 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer-search-quality-8295792002

Staff Software Engineer- Networking | Databricks | Bengaluru, India

 Staff Software Engineer- Networking | Databricks | Bengaluru, India

Staff Software Engineer- Networking

Bengaluru, India

P-1347

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. And we're setting up the team from scratch in Bengaluru , India.

We are seeking an experienced Staff Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.

What we look for:

12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language

7+ years of experience developing large-scale distributed systems from scratch

Experience working on a SaaS platform or with Service-Oriented Architectures.

Extensive experience working in the Networking domain

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer--networking-7648669002

User Identity Services Engineering Intern (R27019) | Epic Games | Cary, United States

 User Identity Services Engineering Intern (R27019) | Epic Games | Cary, United States

Department

Engineering

Location

Cary, United States

Product

Epic Online Services

Company

Epic Games

Requisition ID

R27019

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ENGINEERING - EPIC GAMES SERVICES

What We Do

Driving the plug-in power behind Unreal Engine 5. We bridge connections for licensees and our own internal game teams to online services. This allows games like Fortnite to utilize a combination of platform online services as well as Epic’s own online services to build cross-platform online features. Login, parties, voice chat, matchmaking, purchasing, cloud storage, and analytics are just a few examples of online features that our Online Game Services team helps games utilize.

USER IDENTITY SERVICES ENGINEERING INTERN

What You'll Do

We are looking for a Backend Engineering Intern to join the Identity - Access Control team. You will be part of a highly collaborative team that builds authorization systems and account linking capabilities in our identity platform. You will drive forward a project in our account services with mentorship from an experienced team of developers.

In this role, you will

Contribute to scalable distributed systems that impact millions of players worldwide and power games like Fortnite, Rocket League, and Fall Guys

Take ownership of project delivery from idea to implementation through testing to production

Work with cloud technologies like DynamoDB, MongoDB, Redis, and more

Collaborate closely with engineers, product managers, and designers to determine the most effective technical solutions

Participate in team rituals (standup, planning, retrospectives)

What we're looking for

Proficiency in Java or a similar object-oriented programming language

Pursuing a degree in Computer Science or related technical field. Bonus points for college coursework in systems, databases, and web applications

Familiarity with SQL and NoSQL databases

Excellent analytical, problem solving, and critical thinking skills

Ability to communicate in a highly-collaborative environment

Nice-to-have: Familiarity with cloud technologies

This internship has a flexible start date in 2026. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit epicgames.com/earlycareers. This is going to be Epic!

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

https://www.epicgames.com/site/en-US/careers/jobs/5662697004

Software Engineer, Developer Relations (EAC) (R26414) | Epic Games | Cary, United States

 Software Engineer, Developer Relations (EAC) (R26414) | Epic Games | Cary, United States

Department

Engineering

Location

Cary, United States

Product

Unreal Engine

Company

Epic Games

Requisition ID

R26414

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ENGINEERING - UNREAL ENGINE

What We Do

Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of engineering experts are always innovating to improve the tools and technology that empower content developers worldwide.

What You'll Do

We are looking for an experienced Developer Relations Engineer to join our team and support EOS Anti-Cheat (also known as "Easy Anti-Cheat"). You will serve as a crucial technical liaison between our internal engineering teams and external partners, assisting them in integrating, debugging, and optimizing Anti-Cheat in their projects. Your role involves deep technical troubleshooting of issues, analyzing crash dumps, debugging low-level C/C++ code, and providing effective solutions and technical insights. You will help guide design decisions for Anti-Cheat, contributing to technical documentation and maintaining active communication internally and externally. The ideal candidate is proactive, detail-oriented, tactful, and empathetic, with strong problem-solving skills and the ability to communicate complex technical concepts clearly to stakeholders of varying expertise. You should be comfortable working independently and collaboratively, with excellent time management and multitasking capabilities.

In this role, you will

Troubleshoot complex integration and operational issues involving Anti-Cheat, analyzing crash dumps, logs, and call stacks to identify root causes

Collaborate directly with external game developers and internal teams to resolve technical issues promptly and effectively

Debug and reproduce customer issues, clearly documenting and communicating findings internally and externally

Represent Epic Games through asynchronous and live support, presence at trade shows such as UEFest, and customer visits

Develop and maintain clear, comprehensive technical documentation, tutorials, and guides to support partner integration

Advocate for partners' successful integration and continued use of Anti-Cheat and related Epic technologies, and influence product improvements through customer insights

Research and identify opportunities to enhance Anti-Cheat technologies and developer experience

What we're looking for

Highly proficient in C and C++, particularly low-level or kernel-level debugging and development

Strong ability to analyze crash dumps and debug complex, obfuscated code at the assembly level

Familiarity with cross-platform development (Windows, Linux, macOS), understanding differences and limitations across these platforms

Exceptional problem-solving abilities, proactively tackling issues independently

Excellent verbal and written communication skills to effectively collaborate with internal teams and external partners

Ability to manage multiple tasks simultaneously, work well under pressure, and prioritize to meet SLA targets

Prior experience with SDK/API integration and understanding of software engineering principles, including legacy support

Understanding of online multiplayer video game architectures and associated security concerns

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

https://www.epicgames.com/site/en-US/careers/jobs/5472586004