Kafka Jobs in San Jose.
All active Kafka roles based in San Jose.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.
About the role
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities.
We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better.
For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
Design and Development:
- Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
- Build distributed data pipelines for batch and real-time data processing.
- Design efficient and scalable systems that process large volumes of data.
Big Data Expertise:
- Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
- Work on data transformation, ingestion, and integration for both structured and unstructured data.
- Implement solutions for data lake and data warehouse integrations.
Real-Time Processing:
- Develop and maintain real-time data processing applications to support business-critical use cases.
- Optimize real-time data flows for low latency and high throughput.
Java Expertise:
- Write clean, efficient, and reusable code in Java, adhering to industry best practices.
- Optimize Java applications for performance, scalability, and reliability.
- Leverage Java frameworks such as Spring Boot for backend development.
Monitoring and Optimization:
- Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
- Design and implement performance tuning strategies for large-scale distributed systems.
We're excited if you have
- 7+ years of experience in backend development and distributed data processing.
- Proven expertise in designing and building scalable systems with Java.
- Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
- Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
- Strong understanding of distributed systems and microservices architecture.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).
#LI-JC5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models—it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.
About the Role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You'll Be Doing
- Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
- Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
- Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
- Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
- Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
We’re Excited If You Have
- 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals. Should be able to write an algorithm with ease
- You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- MS in Computer Science or related field
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Cloud Content Platform
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.
About the role
We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.
For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
- Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
- Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
- Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
- Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
- Remain significantly hands-on with critical features and architectural components
- Drive technical planning, prioritization, and execution aligned with business objectives
- Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
- Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
- Lead efforts in monitoring, observability, performance optimization, and production reliability at scale
We're excited if you have
- 10+ years of software engineering experience with significant time in technical leadership roles
- Proven expertise in building scalable, distributed, and streaming solutions in production environments
- Deep experience with content management systems, media processing, or publishing platforms
- Expert-level proficiency in Java or Scala required; Python experience is a strong plus
- Strong expertise in distributed systems architecture, microservices, and event-driven architectures
- Deep understanding of streaming technologies (Kafka, Redpanda, or similar
- Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
- Track record of leading complex technical projects from conception to production in high-scale environments
- Excellent communication skills and ability to influence technical decisions across teams and organizations
- Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
- Extensive experience with containerization and orchestration (Docker, Kubernetes
- Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems
#LI-SB-5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Staff Software Development Engineer-Kubernetes
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Staff Software Development Engineer, Nanolog to join our team. This is a Hybrid (San Jose, 3 days in office) role, reporting to the Sr. Director, Software Engineering in the Zero Trust Exchange department. You will play a critical role in the evolution of the Zscaler Nanolog Service, driving the design and optimization of our proprietary time series database. By identifying system bottlenecks and implementing kernel-level enhancements, you will ensure our platform continues to deliver high-performance, scalable security solutions for our global customer base.
What you’ll do (Role Expectations)
- Developing and maintaining the Query layer using Java, Python or Go within a Kubernetes environment
- Designing, implementing, and deploying Kubernetes clusters that are scalable and reliable
- Developing monitoring systems and deploy services in the cloud
- Troubleshooting and resolving issues related to Kubernetes clusters, containers, and microservices
- Contributing to the overall reliability, scalability, and security of applications in cloud-native environments
Who You Are (Success Profile)
- You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
- You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
- You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
- You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
- You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.
What We’re Looking for (Minimum Qualifications)
- 5+ years of experience with Programming languages like Java, Python, or Golang
- 3+ years of experience in Kubernetes, Docker, and Kafka
- 2+ years of public cloud experience (AWS,GCP, or Azure)
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
- Experience with Infrastructure as Code
What Will Make You Stand Out (Preferred Qualifications)
- Experience in continuous monitoring, vulnerability scanning, patching, and reporting
- Experience with multiple cloud providers (AWS, Azure) and both relational and non-relational databases for microservices
#LI-Hybrid #LI-YC2
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near-real-time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.
In this role, you will be tasked with various aspects of data engineering. In addition to the above, your responsibilities will include but not limited to the following.
- Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
- Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
- Develop and maintain data models that support analytics, reporting, and custom app development
- Create robust data quality observability, monitoring, testing, and validation frameworks
- Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
- Support the integration of data systems with aircraft telemetry, flight testing, and operational systems
What You Need:
- Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
- At least 3 years experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
- Experience designing and managing data warehouse / lakehouse architectures for high performance and low latency
- Led development of real-time data pipelines using Kafka or related technologies
- Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure)
- Deep understanding of data security and quality governance
- Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing
- Familiarity with ERP systems and how to extract data to build custom tools & applications
- Knowledge of integrating Gen AI into production data workflows
- Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
- Clear communication skills that are essential for working across diverse stakeholders
Bonus Qualifications:
- Solid foundation in machine learning and other data science fundamentals
- Familiarity with time series data applications and related technologies
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
- Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Custom Application Question:
In order to comply with U.S. export control laws and regulations, applicants for this position who are non-U.S. nationals (i.e. individuals who are not U.S. Citizens, Permanent Residents, Asylees, Refugees or members of a similar designation) may need to obtain an export-control license to access certain restricted data and/or information. To the best of your knowledge, is there a possibility that you may need to acquire an export-control license?
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
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Senior Software Engineer - Marketplace Quality Engineering
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The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.
Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.
The Team: Marketplace Quality Engineering:
Every second, our bidder evaluates millions of ad opportunities across thousands of publishers and supply paths. Not all of that supply is created equal — some of it is duplicated, some is structurally inaccessible, and some degrades advertiser outcomes. The Marketplace Quality Engineering team exists to make sure our platform is buying the right impressions, not just more impressions.
We own the systems that assess, measure, and optimize supply quality across the programmatic ecosystem. Our work spans deduplication, supply path analysis, quality modeling, and the tooling that turns those signals into decisions at bid time. The problems are technically deep — think identity resolution across fragmented supply chains, statistical modeling to separate signal from noise, and real-time decisioning at platform scale — and they have direct, measurable impact on both advertiser outcomes and platform economics.
This is not theoretical work. When we ship a model update, spend distribution across the platform shifts. Our engineering decisions translate directly into tens of millions of dollars of measurable business impact. If you want to build systems where what you ship visibly matters, this is the team.
You will work with C# / .NET as a core strength, alongside Python and SQL where data and automation need it, and partner closely with product, data, and platform teams across time zones.
Who you are:
Our culture runs deeper than having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not need to meet every requirement below, but people who meet most of them tend to thrive in this role:
- You are comfortable working on an agile, distributed team across time zones and continents.
- You communicate effectively with both technical and non-technical audiences.
- You have a solid grasp of computer science and engineering fundamentals.
- You have strong experience with distributed systems and data-heavy backend work (services, pipelines, or both).
- You are proficient in C# / .NET.
- You are productive with modern development tools: Visual Studio, Visual Studio Code, Rider, and Git.
- You bring 7+ years of software development or engineering experience.
Nice to have (not required): GraphQL or REST API design, large-scale data processing frameworks (e.g. Apache Spark), workflow orchestration tools (e.g. Apache Airflow), schema-based data serialization, Kubernetes, Kafka, database engines (Microsoft SQL Server, PostgreSQL, Aerospike, Vertica, Redis), microservices, Python for data work or automation, and experience working across large codebases with multiple teams.
A wide range of technical opportunities is one of the best parts of engineering at The Trade Desk, which is why we do not expect you to know every technology we use on day one. What matters is that you learn quickly and solve complex problems with the right tools. What you know today matters less than how well you learn, adapt, and innovate. We are not looking for people who already have all the answers — we want engineers who can invent answers no one has thought of yet and frame the questions we have not yet asked.
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade Desk
DevOps Engineer
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Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.
We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.
SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER
Experience level 3+ YoE supporting production saas in AWS
Location Anywhere in LATAM preferably in Colombia
Employment type Full‑time contract
ABOUT THE ROLE
Build out a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.
WHAT YOU WILL DO
- Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
- Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
- Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
- Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
- Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
- Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
- Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
- Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.
- Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
- Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
- Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
- Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
- Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices
WHAT YOU BRING
- Bachelor degree in Computer Science or equivalent practical experience
- three plus years working with cloud infrastructure or platform engineering focused on AWS
- Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
- Proficiency in Python and Bash or Zsh scripting
- Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
- Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
- Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
- Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
- Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
- Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
- Strong SQL skills and a deep understanding of relational database internals
- Competent in Linux administration, process troubleshooting, and performance tuning
- Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
- Clear communication skills and an ability to translate complex technical topics to diverse audiences
- Familiarity with Scrum or Kanban and a continuous‑improvement mindset
EXTRA CREDIT
- AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
- Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
- Building data pipelines with Apache Spark, Flink, or similar frameworks
- Implementing event‑driven architectures with Kafka Streams or KSQL
- Applying SRE practices such as error budgets and service‑level dashboards
- Exposure to machine‑learning workflows, ModelOps, or MLOps in production
This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.
Ready to apply?
Apply to Linqia
Senior Full Stack Software Engineer - Omnichannel
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The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
What We Do
• The Omnichannel team at The Trade Desk is pioneering a new approach to digital advertising — one built around telling a coherent story through ads, using the media best suited for each chapter. We work across the full ad tech stack, from identity to measurement to bidding, to deliver unified campaign experiences that span screens, formats, and moments. Our Software Engineers are end-to-end owners who participate in designing, building, and delivering data-focused products for our stakeholders.
What You'll Do
• Design and build systems that orchestrate advertising across channels, ensuring a unified narrative from first impression to conversion.
• Work across team boundaries — partnering with identity, measurement, and bidding teams to integrate their capabilities into cohesive omnichannel solutions.
• Own projects end to end, from early design through production rollout and ongoing operation.
• Translate ambiguous business requirements into concrete technical designs and execution plans.
• Deliver high-quality changes with automated tests, metrics, and monitoring.
• Collaborate with product managers and business stakeholders to define what success looks like and drive toward it.
• Mentor other engineers and contribute to a culture of trust, ownership, and technical excellence.
Who You Are
• You're comfortable owning things end to end — from scoping a problem to shipping and operating the solution.
• You communicate clearly with both technical and non-technical audiences, and you're effective working across teams with competing priorities.
• You thrive in ambiguity. Vague requirements don't slow you down — you translate them into actionable plans and iterate toward the right answer.
• You have 7+ years of software development experience.
• You have strong experience with distributed systems and backend development in a language such as C#, Java, or Python.
• You have a solid understanding of computer science and engineering fundamentals.
• You're comfortable working on an agile, distributed team spanning multiple time zones.
Nice to Have
• Experience with large-scale data processing (Spark, Airflow, Kafka, Flink).
• Familiarity with cloud infrastructure and orchestration tools (Kubernetes, Terraform).
• Experience in ad tech or with real-time bidding systems.
• Exposure to cross-channel measurement or identity resolution.
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskSenior Site Reliability Engineer I
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Senior Site Reliability Engineer I
Location
- San Jose, Costa Rica - Remote
-
Summary of role
Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work with your global SRE team to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase the feature velocity of our developers. Work closely with multiple teams on assisted engagements to optimize the operations of their microservices.
Responsibilities
- Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
- Participate in defining, evolving, and managing SLOs
- Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement.
- Participate in and continually improve our global IRC (incident response coordination) for all products.
- Drive root cause identification and issue resolution with the various teams.
- Work inside a fast-paced iterative environment.
Required Qualifications and Skills
- Cloud native application development experience leveraging best practices and design patterns
- Strong debugging and troubleshooting skills across the entire technology stack
- Deep understanding of AWS Networking, Compute, Storage, and managed services.
- Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
- Experience with full life cycle support of services, from creation to production support
- Versed in Infrastructure as Code practices using technologies like Terraform or AWS CloudFormation
- Ability to author production-ready code in at least one of the following: Java, Scala, or Go.
- Experience with Linux systems and at home on the command line
- Understand and apply modern approaches to cloud-native software security
- Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
- Flexible and willing to step into new roles and responsibilities
- Willingness to learn and use Sumo Logic products for solving reliability and security issues
- Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
- 6+ years of industry experience.
Desirable Skills
- Experience using Sumo Logic products or other observability products for reliability and security
- Experienced with planet-scale product development
- Running and operating SaaS products on AWS Cloud with expert-level proficiency
- Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
- Expert-level experience in one or more of: Java, Go, Scala, or Python
- Expert-level experience in one or more of: Terraform, Jenkins, Kubernetes
- Extensive experience running and tuning JVM workloads at scale
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Ready to apply?
Apply to Sumo Logic
DevOps Engineer
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Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.
We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.
SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER
Experience level 3+ YoE supporting production saas in AWS
Location Anywhere in LATAM preferably in Colombia
Employment type Full‑time contract
ABOUT THE ROLE
Build out a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.
WHAT YOU WILL DO
- Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
- Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
- Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
- Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
- Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
- Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
- Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
- Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.
- Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
- Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
- Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
- Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
- Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices
WHAT YOU BRING
- Bachelor degree in Computer Science or equivalent practical experience
- three plus years working with cloud infrastructure or platform engineering focused on AWS
- Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
- Proficiency in Python and Bash or Zsh scripting
- Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
- Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
- Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
- Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
- Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
- Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
- Strong SQL skills and a deep understanding of relational database internals
- Competent in Linux administration, process troubleshooting, and performance tuning
- Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
- Clear communication skills and an ability to translate complex technical topics to diverse audiences
- Familiarity with Scrum or Kanban and a continuous‑improvement mindset
EXTRA CREDIT
- AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
- Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
- Building data pipelines with Apache Spark, Flink, or similar frameworks
- Implementing event‑driven architectures with Kafka Streams or KSQL
- Applying SRE practices such as error budgets and service‑level dashboards
- Exposure to machine‑learning workflows, ModelOps, or MLOps in production
This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.
Ready to apply?
Apply to Linqia
Site Reliability Engineer I
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Site Reliability Engineer I
Location
- San Jose, Costa Rica - Remote
Summary of role
Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work with your global SRE team to optimize operations, increase efficiency in our use of cloud resources and our developers’ time, harden security posture, and increase the feature velocity of our developers. Work closely with multiple teams on assisted engagements to optimize the operations of their microservices.
Responsibilities
- Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
- Participate in defining, evolving, and managing SLOs
- Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement.
- Participate in and continually improve our global IRC (incident response coordination) for all products.
- Drive root cause identification and issue resolution across teams.
- Work inside of a fast-paced iterative environment.
Required Qualifications and Skills
- Cloud native application development experience leveraging best practices and design patterns
- Strong debugging and troubleshooting skills across the entire technology stack
- Understanding of AWS Networking, Compute, Storage, and managed services.
- Experience with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
- Versed in Infrastructure as Code practices using technologies like Terraform or CloudFormation
- Experience with full life cycle support of services, from creation to production support
- Ability to author production-ready code in at least one of the following: Java, Scala, or Go.
- Experience with Linux systems and at home on the command line
- Understand and apply modern approaches to cloud-native software security
- Experience with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
- Flexible and willing to step into new roles and responsibilities
- Willingness to learn and use Sumo Logic products for solving reliability and security issues
- Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
- 1+ years of industry experience.
Desirable Skills
- Experience using Sumo Logic products or other observability products for reliability and security
- Experienced with planet-scale product development
- Running and operating SaaS products on AWS Cloud with expert-level proficiency
- Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
- Advanced level experience in one or more of: Java, Go, Scala, or Python
- Advanced level experience in one or more of: Terraform, Jenkins, Kubernetes
- Extensive experience running and tuning JVM workloads at scale
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Ready to apply?
Apply to Sumo LogicTeamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
What You'll Be Doing
- Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second.
- Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance.
- Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs.
- Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.
- Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.
We’re excited if you have - 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals. Should be able to write an algorithm with ease
- You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- MS in Computer Science or related field
#LI-NK1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Software Engineer, Ground Software
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About the role
Muon is looking for a Software Engineer (Back-end) to join our Ground Software team. The ideal candidate is a self-motivated and versatile software engineer who is excited to build our cloud infrastructure, web services and applications like mission planning & control software, ground station integrations, and tools to gain insight into Earth’s complex systems. Our team broadly owns all the software that enables us to communicate with the satellite, as well as customer APIs that enable multi-satellite planning and scheduling. We are fully responsible for the software we build through its full lifecycle; from implementing deployable applications, managing the infrastructure they run on, and supporting them running in production.
Responsibilities
- Build a world class Mission Planning & Control System in the cloud, using tools like Docker and FastAPI
- Participate in designing our cloud architecture: choosing which technologies we will use, how we will organize the system, and when we should build systems in-house vs buy them off the shelf, to maximize the impact of our team
- Manage the infrastructure we will use to deploy our cloud applications, using tools like Kubernetes, Helm, and AWS Lambda
- Build the spacecraft-to-cloud data integration: processing and archiving the command history and telemetry, using tools like Kafka, InfluxDB, and Grafana
- Build the APIs and tooling to integrate our cloud with remote antenna ground station networks
- Architect systems to achieve low latency and fault tolerance
- Deploy infrastructure and tools to workstations, on-premises data centers, and cloud environments
Qualifications
- B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience
- 4+ years experience as a software engineer in a team environment
- Strong programming experience in Python for web development
- Experience with cloud-native software development in at least one major cloud provider (AWS, GCP, Azure) using containers
- Excellent communication and presentation skills
- Excited to work in a fast-paced environment with new opportunities each week
Nice-to-have Skills
- Experience with the AWS / Govcloud ecosystem
- Experience managing CI/CD in cloud-based development, staging, and production environments
- Have a passion for simple architectures and clean APIs
- Strong Linux fundamentals and comfortable with Linux development and deployment environment
- IT and Information security (authentication, encryption)
- Experience smoothly deploying continuously evolving data services to customers
Salary
The salary range for this role is $156,000 - $186,000 plus a competitive equity grant and comprehensive benefits package. Final compensation will be based on skills, qualifications, experience, and geographic location as assessed during the interview process.
About Muon Space
Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.
Taking Care of Our Team
At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.
Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.
ITAR/EAR Requirements
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.
Ready to apply?
Apply to Muon Space