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

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 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

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

About the Role

We are seeking a highly technical, strategic Senior Engineering Manager to lead our Core Content Platform team. In this role, you will define the technical vision and drive the execution of a highly scalable, cloud-agnostic data abstraction layer. You will lead a distributed organization of senior engineers to transition legacy services into a unified, next-generation data platform that natively integrates machine learning and AI capabilities. This is a high-impact leadership position requiring a deep background in distributed systems, real-time data pipelines, and organizational scaling.

For California Only - The estimated annual salary for this position is between $328,500 - $451,600 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

• Technical Vision & Strategy: Drive the architectural roadmap for the platform, ensuring the team builds scalable, highly available, and cloud-agnostic data systems
• Engineering Execution: Oversee the design and deployment of real-time streaming pipelines and distributed data architecture (utilizing tools like Scala 3, Apache Flink, and distributed SQL databases such as CockroachDB)
• Team Leadership: Manage, mentor, and scale a high-performing engineering organization, fostering a culture of technical excellence across US-based and global teams
• Operational Excellence: Own the reliability, performance, and technical debt management of the data platform, ensuring high uptime and seamless delivery to internal and external partners

We're Excited If You Have

• 10+ years of hands-on experience in data engineering, backend architecture, and building highly scalable, distributed data platforms
• 7+ years of direct engineering management experience, with a proven track record of recruiting, leading, and retaining senior-level talent and managing distributed teams
• Deep expertise in building real-time data pipelines and large-scale data infrastructure
• Strong proficiency in modern backend and data engineering languages/frameworks (e.g., Scala, Java, Python) and streaming technologies
• Demonstrated ability to drive large-scale architectural migrations and manage complex technical debt.ML/AI Experience: Hands-on experience developing or managing GenAI-driven platforms, or natively integrating machine learning pipelines into core data services
• Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
• Domain experience in digital media, content platforms, or large-scale consumer applications.

#LI-SSC

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

About the role 

The Senior Revenue Analyst will report to the Manager of Revenue Accounting and System Solutions and will work closely with our cross-functional teams (product management, engineering, business automation, ad sales) to ensure accurate revenue recognition and reporting for our ad sales advertising activities as well as enhancing existing internal systems to promote efficiency and scalability within the revenue accounting function and overall order-to-cash process. We are seeking someone with strong analytical skills, highly organized with attention to detail, great communication skills, and ability to drive issues through resolution.    

For California Only - The estimated annual salary for this position is between $130,000 and 142,000 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 

• Work with cross-functional teams (sales, ads operations and others) to ensure accurate revenue recognition and billing in accordance with ASC 606 for the ad sales business 
• Partner with product management, engineering, and business automation to drive automation through system implementations, operational enhancements, and improve user experience 
• Assist with revenue share payouts and provide insights to product management and engineering to improve related automation 
• Develop and maintain systems and process documentation as needed 
• Support continuous process improvements within the revenue accounting organization as well as other order-to-cash processes 
• Assist with month-end and quarter-end close activities 

We’re excited if you have 

• Bachelor’s degree in accounting or similar  
• CPA is preferred  
• 4-8 years of prior revenue accounting and system automation experience 
• Experience with revenue recognition under ASC 606, preferably in digital advertising ecosystem  
• Possess deep understanding of order-to-cash processes with a track record of identifying gaps and driving efficiencies 
• Proficiency in Excel 
• SQL experience in Superset is a plus 
• Salesforce highly preferred, NetSuite experience is a plus 
• Outstanding interpersonal, communication, and business partnering skills 

#LI-RR1 

We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.

Responsibilities

Financial Management and Optimization

• Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
• Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
• Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
• Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
• Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.

Tooling, Reporting, and Automation

• Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
• Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
• Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.

Vendor and Contract Management

• Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
• Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
• Monitor vendor performance against contractual agreements and track realization of anticipated savings.

Governance and Education

• Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
• Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
• Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.

Qualifications

Required Skills and Experience

• 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
• Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
• Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
• Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
• Familiarity with contract negotiation principles and vendor management processes.
• Strong communication skills, with the ability to translate technical cost data into clear business terms.

Desired Qualifications

• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
• Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
• Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

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. For this position we are targeting a base pay between $133,400 - $200,000. 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.

About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For California Only - The estimated annual salary for this position is between $195,000 - $408,000 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

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it
  
  

#LI-SSC

About the role

Muon seeks a Software Engineer to join our Information Systems team. The ideal candidate is a self-motivated and versatile software engineer with a strong desire to develop mission-critical internal software and platforms with the primary goal to reduce manual and repetitive tasks.

The Information Systems team owns the comprehensive suite of custom software, vendor software, data platforms and automated tools that will enable various teams to work more rapidly, our factories to build efficiently, and our launch teams to operate flawlessly.

Responsibilities

• Hands-on software development of internal software using modern methodologies and tools.
• Own the end-to-end software development from product concept to delivery and maintenance to our internal customers.
• Participate in designing overall information systems architecture, from technology selection to buy-vs-build decisions.
• Embrace adaptability by taking on meaningful responsibilities as the company’s needs change, and be comfortable changing elevations from low-level coding to higher-level project and initiative needs.
• Assist in the integration and implementation of core systems (e.g., custom ERP, PLM, MES, Supply Chain) to integrate seamlessly and automate handoffs between functions.

Qualifications

• B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience
• 5+ years full-stack (frontend and backend) software engineering experience.
• Proficiency in common programming languages such as Python and Javascript along with common libraries such as React and Angular.
• Experience selecting and deploying database technology based on specific performance and feature needs (SQL/NoSQL, PostgreSQL, MongoDB, InfluxDB, etc)
• Proficiency developing, versioning and optimizing REST and GraphQL APIs.
• Excellent communication and presentation skills
• Excited to work in a fast-paced environment with new challenges each week

Nice-to-have Skills

• Modern space systems experience, including software ecosystems.
• Proven success in a high-growth startup environment

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 determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. 

About the role

Muon seeks a Staff Software Engineer to join our Information Systems team. The ideal candidate is a self-motivated and versatile software engineer with a strong desire to develop mission-critical internal software and platforms with the primary goal to reduce manual and repetitive tasks.

The Information Systems team owns the comprehensive suite of custom software, vendor software, data platforms and automated tools that will enable various teams to work more rapidly, our factories to build efficiently, and our launch teams to operate flawlessly.

Responsibilities

• Leading member of the team defining and building various platforms, tools and applications on the Information Systems team.
• Hands-on software development of internal software using modern methodologies and tools.
• Align team roadmaps with product requirements and mission needs.
• Own the end-to-end software development from product concept to delivery and maintenance to our internal customers.
• Lead overall information systems designs, and architecture; from technology selection to buy-vs-build decisions. 
• Embrace adaptability by taking on meaningful responsibilities as the company’s needs change, and be comfortable changing elevations from low-level coding to higher-level project and initiative needs.
• Define metrics aligned with critical company goals and enable the team to achieve aggressive goals.
• Closely collaborate with other internal teams and departments.

Qualifications

• B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience.
• 10+ years full-stack (frontend and backend) software engineering experience.
• Deep expertise in programming languages such as Python and Javascript along with common libraries such as React and Angular.
• Deep experience selecting and deploying database technology based on specific performance and feature needs (SQL/NoSQL, PostgreSQL, MongoDB, InfluxDB, etc)
• Proficiency developing, versioning and optimizing REST and GraphQL APIs.
• Excellent communication and presentation skills.
• Excited to work in a fast-paced environment with new challenges each week.

Nice-to-have Skills

• Modern space systems experience, including software ecosystems.
• Proven success in a high-growth startup environment.
• End-to-end development from product concept to delivery to customer/market.

Salary

The salary range for this role is $210,000 - $234,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. 

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

We are looking for a Staff Golang Developer to join our Platform Convergence team. This is a hybrid role based in either San Jose, CA or Bellevue, WA (3 days a week), reporting to the Sr. Director of Software Engineering within the Engineering department. You will bring your vision and passion to a team of architects and engineers building the world’s largest cloud security platform. You will help organizations worldwide harness speed and agility through a cloud-first strategy and a robust multitenant architecture.

What you’ll do (Role Expectations)

• Design, and implement scalable, high-performance backend services and APIs using Go while integrating with PostgreSQL, MySQL, MongoDB, and Redis
• Ensure code quality through unit, integration, and performance testing while monitoring and optimizing system performance
• Partner with external teams to deliver integrated solutions and ensure seamless system functionality across the platform
• Drive project success by contributing to Agile/Scrum processes, including sprint planning and retrospectives
  
  

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose
  
  

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience with proficiency in Golang, including expertise in concurrency, parallelism, GRPC, and Protobuf
• Skilled in building large-scale distributed systems, RESTful API design, and web frameworks like Gin and Echo
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
• Solid understanding of SQL and NoSQL databases along with CI/CD pipeline implementation
• Exceptional problem-solving skills and attention to detail for designing robust technical solutions
  
  

What Will Make You Stand Out (Preferred Qualifications)

• Experience with systems languages like Rust or C/C++, particularly in performance-critical environments
  
  

#LI-Hybrid #LI-JM1

Role

We are looking for a Senior Manager of Business Operations - Engineering Strategy, Planning & Analytics to join our Zero Trust Exchange team. This is a hybrid role (onsite 3 days a week) in San Jose, CA reporting to the Senior Director, Engineering Operations, Zero Trust Exchange.

We are looking for a Sr. Manager of BizOps - Engineering Strategy, Planning & Analytics to drive data-informed decision-making across the engineering organization. This role transforms complex data into actionable insights that inform both high-level strategy and day-to-day execution across the Software Development Lifecycle, while also leading planning, performance analytics, and operational rigor at scale.

What You’ll Do (Role Expectations)

• Lead quarterly and annual engineering planning cycles (Application Performance Monitoring (APM), headcount, budgeting), aligning investments with business priorities and ensuring accurate capacity modeling
• Own and scale engineering planning processes (APM, headcount, budgeting, and forecasting), ensuring alignment with business priorities and financial targets
• Responsible for Business Analytics for Engineering. Build and maintain data models, dashboards, reporting systems, and performance metrics that provide visibility into engineering productivity, cost efficiency, and delivery outcomes
• Define and run operating cadences (QBRs, planning reviews, OKR interlocks) to establish a strong rhythm of business and ensure execution against goals
• Communicate insights and business impact clearly to senior stakeholders, while driving process improvements, tooling enhancements (e.g., Jira), and scalable analytics frameworks

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• 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.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience in engineering operations, analytics, strategy, or technical program management, with a strong focus on data-driven decision-making
• Advanced analytical skills (complex formulas, pivots, data modeling) and experience with SQL and data analysis tools
• Proven experience managing cross-functional projects end-to-end, delivering insights and measurable business impact
• Strong ability to interpret business and engineering metrics, connect multiple data sources, and communicate insights to senior stakeholders
• Bachelor’s degree in Business Analytics, Finance, Math, Statistics, Economics, or related quantitative field

What Will Make You Stand Out (Preferred Qualifications)

• 3+ years of experience managing analysts, data engineers, or operations teams
• Strong proficiency in SQL, data visualization tools (e.g., Tableau), and data architecture concepts
• Experience driving engineering productivity frameworks, capacity planning, or scalable planning & analytics systems, with familiarity in tools like Jira, Salesforce, or Confluence

#LI-Hybrid #LI-KM9

About the Role 

Now we are looking for a Middle/Senior C# Developer to join the team that works on Veeam Backup for Office 365. 

What You'll Do 

• Developing and supporting one of Veeam's core products: Veeam Backup for Microsoft 365 

• Communicating with other participants of the product development process  

• Participating in planning and creating the features for your products  

Technologies You'll Work With   

• Latest C# (and a bit of C++, C++CLI), REST, PowerShell, WPF  

• Latest .NET frameworks 

• Visual Studio or Rider 

• Azure DevOps, Git, Jenkins  

• Azure, Office 365, Amazon  

• Exchange, SharePoint, SQL, Messaging and Events  

• Agentic coding tools 

What You'll Bring 

• Good knowledge of C# language 

• 3-5 years of relevant experience  

• Understanding of data structures and algorithms  

• Experience developing for a RDMS, e.g. Postgresql, SQL Server, MySQL, Oracle  

• Experience in the development for public clouds, e.g. Microsoft Azure, AWS, GCP  

• You should also have an open and flexible mind, common sense, clear logic, analytical skills, and the ability to work independently  

Bonus Skills  

• Understanding of the Windows platform (.NET, Win API)  

• Experience debugging event-based systems  

• Advanced knowledge of Windows or Linux operating systems  

• Experience in the development for Microsoft Exchange, SharePoint, or Office 365  

• Experience in a commercial development of products for the mass market  

Please Note: If the applicant is permanently located outside of the United States Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in the United States. 

#LI-Remote #LI-KFUS 

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Intermediate Drupal Developer

***Note that this position is a contract role, with an option to go full-time***

Position Summary

This individual will play a hands-on role in architecting, developing, and maintaining Drupal-based interactive web projects. Detail-oriented, highly organized, and analytical, you are responsible for building scalable Drupal solutions, implementing custom modules, managing CMS configurations, and supporting ongoing enhancements across active client properties.

You must have a strong understanding of the software development lifecycle and be able to communicate project status, issues, and resolutions clearly and effectively.

We work in an agency environment with multiple clients, so communication skills, breadth of experience, multi-tasking across several projects, and passion for modern web technologies are paramount qualities in our ideal candidate. You will collaborate closely with account, creative, UX, and project management teams while also partnering with client IT teams and external vendors when needed.

Core Skills

• Strong experience with Drupal 9/10 (site building and custom development)
• Experience building and maintaining custom Drupal modules
• Proficiency in PHP and Drupal API
• Experience with Drupal theming (Twig, custom themes, component-based development)
• Strong knowledge of HTML5, CSS3, and modern JavaScript
• Experience working with RESTful APIs and third-party integrations
• Experience with Composer and Drupal dependency management
• Experience with Git-based source control workflows
• Familiarity with MySQL and relational database concepts
• Experience with Drupal configuration management and deployment workflows
• Understanding of web accessibility (WCAG) and SEO best practices
• Experience troubleshooting and debugging Drupal applications
• Ability to configure and deploy Drupal web applications
• Working knowledge of Apache and/or Nginx environments

Additional Skills Considered

• Experience with decoupled/headless Drupal architecture
• Familiarity with React, Vue, or other modern JS frameworks
• Experience with AWS (EC2, S3, CloudFront, IAM)
• Experience with CI/CD pipelines and automated deployments
• Experience with Docker-based local development environments
• Knowledge of Acquia, Pantheon, or other Drupal hosting platforms
• Experience with multi-site Drupal environments
• Familiarity with performance optimization and caching strategies (Varnish, Redis)
• Experience working in regulated industries (healthcare, life sciences, etc.)

Competency

• Highly collaborative with strong problem-solving and troubleshooting skills
• Leads by example in concise communication and quality-driven development
• Active participant in code reviews and QA workflows
• Ability to multi-task across multiple client projects simultaneously
• Comfortable interacting with client IT teams during technical discovery
• Ability to investigate and recommend technical solutions for varied project needs
• Strong attention to detail and commitment to clean, maintainable code
• Familiarity with Agile, Scrum, and/or Waterfall methodologies

Essential Functions

• Develop custom Drupal modules and themes
• Configure and maintain Drupal CMS features and content structures
• Translate business requirements and creative designs into functional Drupal solutions
• Implement third-party integrations (APIs, marketing tools, CRM systems, etc.)
• Maintain and update legacy Drupal codebases
• Participate in architecture discussions and technical planning
• Perform code reviews and contribute to best practice standards
• Support deployment processes and troubleshoot production issues
• Optimize Drupal performance and caching configurations
• Code, test, and support database-driven web applications
• Provide technical assistance to creative and UX teams as needed
• Assist in producing accurate tasks and project estimates
• Recommend solutions based on best practices and independent judgment
• Stay current on Drupal core updates, contributed modules, and security releases
• Contribute to documentation and internal knowledge sharing

General Requirements

• This job description should be treated as a guide to the duties that the post holder is expected to perform.
• The description may be amended to meet the changing requirements of the agency.
• All employees are required to be aware of their responsibilities toward Health and Safety and adhere to company policies.

Bonus/nice-to-have Skills

• AWS Lambda
• React JS
• PHP Object-oriented Development (think CodeIgniter MVC frameworks)
• Bootstrap Boilerplate
• SQL
• WordPress Core & Plugins Development
• Tailwind CSS
• Python
• Linux (preferably RHEL)
• SAML Experience

Minimum Required Qualifications

• Education: Bachelor’s degree in computer science, MIS, related field, or equivalent experience
• Work Experience: 3–5 years of professional Drupal development experience

Regularly Interacts With

Account, Creative, UX, Creative Services, Planning, Project Management, and Client IT teams.

We’re looking for an experienced People Analytics Manager to join our People Analytics and Systems team as an insights partner across all areas of the broader People Team. You will build and refine the metrics used by the business to make people decisions. Reporting to the Director of People Analytics and Systems, you will be responsible for:

What You’ll Do:

• Support a global strategy team to deliver business intelligence across the People Team (Human Resources) functions, partners, and business customers.
• Help further advance the People Team as data-driven and insight-led.
• Help those inside and outside of the People Team to make high-quality decisions about the workforce's future and company growth.
• Apply expertise in quantitative analysis and presentation of data to develop visually compelling and informative reports and dashboards
• Promote data quality from People systems through the reporting pipeline, both within the People Team and in partner teams such as Finance and People Operations
• Support other People related programs or ad hoc requests as needed

What You Need:

• 7-10 years of experience in People Analytics or a similar field
• Experience translating data analysis into actionable recommendations for People leaders
• Strong organizational skills, and attention to detail, and integrity in handling confidential and sensitive information

Bonus Qualifications:

• Experience in related HR disciplines (compensation, recruiting, benefits, or compliance)
• Proficient with Workday, Greenhouse, and various People Systems
• Proficient with advanced statistical analysis
• Proficient in SQL, R or Python
• Interest in guiding the integration of AI into HR

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. For this position we are targeting a base pay between $150,500 - $180,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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.

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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.

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.

About The Role:

As part of Archer’s mission to scale production of our cutting-edge eVTOL aircraft, we are seeking an Sr. Automation Controls Engineer to help design and build manufacturing automation at scale. This role goes beyond maintaining existing lines—it’s about architecting intelligent manufacturing systems from the ground up. We’re looking for a hands-on technical engineer who thrives on turning complex designs into reliable, scalable solutions, bridging the gap between early R&D concepts and flight-ready hardware.

The primary objective of this role is to collaborate with cross-functional teams to develop innovative machine and process concepts. You will lead the full controls system lifecycle, including programming PLCs, HMIs, robotics, and servo drives. In addition, this role involves drafting detailed electrical schematics and overseeing the procurement and fabrication of electrical control panels.

What You’ll Do:

• Assist in the development of high-volume production systems, from early process feasibility studies through scalable production
• Contribute to the development of Equipment Development Standards and templates to drive hardware and software standardization across the factory
• Partner with external system integrators to deliver equipment that meets Archer standards and specifications
• Provide machine design feedback from an electrical, controls, and machine/operator safety perspective; drive implementation with cross-functional teams to ensure compliance with regulatory requirements, Archer standards, equipment specifications, and field labeling
• Support installation, commissioning, and qualification of new equipment and tooling alongside system integrators
• Develop, deploy, and validate MES interfaces to production equipment
• Build HMIs from scratch and improve existing HMIs, with a focus on ignition and V8 systems
• Support in-line troubleshooting of electrical systems, control panels, field devices, and safety interlock circuits
• Develop comprehensive handoff packages for production and sustaining engineering teams
• Support continuous improvement efforts by identifying opportunities to improve quality, increase throughput, and reduce cost
• Specify and select controls and safety hardware, and program devices for prototype lines and internally developed equipment

What You Need:

• Bachelor’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Science, or related field, or equivalent hands-on automation experience
• 6+ years of hands-on experience in an industrial automation, controls, or manufacturing equipment environment
• Experience working as a Controls Engineer, Automation Engineer, Electrical Engineer, Applications Engineer, or Equipment Engineer
• Hands-on PLC programming experience, including:
• Allen-Bradley (primary)
• Beckhoff (nice-to-have)
• Siemens (nice-to-have / future-focused)
• Ability to modify existing PLC programs and/or develop logic from scratch
• Experience supporting automated manufacturing equipment or production lines
• Strong hands-on electrical troubleshooting skills
• Ability to read and understand electrical schematics
• Experience using AutoCAD Electrical and/or EPLAN (both acceptable)
• Familiarity with industrial communication protocols (e.g., Ethernet/IP or equivalent)
• Experience developing or supporting HMI systems
• Ignition experience is a plus, not required
• Exposure to SQL databases for logging, recipes, or data exchange between PLCs and higher-level systems
• Willingness to work onsite in a hands-on manufacturing environment
• Ability to travel up to ~20% (primarily domestic, later-phase support)

Bonus Qualifications:

• NFPA 70E certification
• RIA certifications (e.g., Certified Vision Professional, Certified Motion Control Professional)
• Hands-on experience with battery module and/or pack manufacturing
• Experience with PFMEA development
• Experience with NX and Teamcenter

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. For this position we are targeting a base pay between $126,700 - $158,400. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. 

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.

What you’ll do:

• The Supply Chain Analyst is responsible for managing, reviewing, and maintaining key supply chain financial metrics, including Purchase Order projections, Goods Receipt projections, Purchase Price Variance trend, Excess & Obsolescence trend
• Support the Sales, Inventory, and Operations Planning (SIOP) process by compiling, analyzing, and presenting supply chain data to cross-functional stakeholders.
• Monitor and report on inventory levels, identifying trends, risks, and opportunities for optimization.
• Partnering closely with the Finance team to provide regular SC financial updates
• Collaborate with Procurement, Cost Engineering, Supply Chain Managers, and Supply Chain Planners to gather, validate, and synthesize data for financial reporting.
• Develop and maintain dashboards, reports, and scorecards to support supply chain cost visibility and decision-making.
• Work closely with respective departments to continuously improve internal processes and systems to enhance organizational value and efficiency

What you need:

• Bachelor's degree in Finance, or a related field
• 5+ years of related experience, in supply chain financial analytics
• Well versed in SAP, Excel, and SQL and familiar with visualization reporting tools.
• Ability to work in a fast paced and highly regulated environment
• Results oriented and metrics driven leader, with exceptional communication and problem-solving skills. Strong team player
• Solid analytical skills

Bonus Qualifications: 

• APICS certification
• SAP

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.

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.

itD is seeking a Product Manager, Adobe Analytics to lead the implementation, governance, and optimization of analytics tracking across Sephora’s digital ecosystem. This role ensures accurate data collection, scalable measurement frameworks, and high-integrity insights that inform product, marketing, and business decisions. The ideal candidate brings deep experience in analytics implementation and product management, with a proven track record of delivering robust tracking solutions, actionable insights, and cross-platform measurement strategies.

Remote (U.S. preferred, Pacific Time alignment)

Responsibilities

• Lead end-to-end Adobe Analytics implementation across desktop, mobile web, and app experiences
• Define and manage tagging strategy, data layer requirements, and analytics governance for new features and releases
• Translate business and product requirements into clear, sprint-ready user stories for analytics tracking
• Partner with engineering and QA to implement, validate, and maintain accurate tracking across releases
• Conduct QA of analytics tags using debugging tools, identifying discrepancies and driving resolution
• Develop and evolve KPI frameworks aligned to product, marketing, and business objectives
• Build and maintain dashboards and reporting to track engagement, conversion, retention, and revenue trends

Internal Responsibilities

• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Required Qualifications and Skills

• 3–5+ years of experience in web and mobile analytics implementation using Adobe Analytics
• Hands-on experience with Adobe Experience Cloud, including Processing Rules, Classification Rules, and Workspace
• Experience defining and implementing tracking for evars, props, events, and data layers
• Proficiency in debugging and validating analytics tags using tools such as Charles or Fiddler
• Strong working knowledge of JavaScript and SQL
• Experience writing detailed user stories and working within Agile development environments
• Demonstrated ability to troubleshoot tracking issues and validate end-to-end analytics implementations
• Strong ability to communicate technical concepts and data insights to cross-functional stakeholders

Preferred Qualifications and Skills

• Experience in retail or ecommerce environments with an understanding of digital conversion funnels and customer journeys
• Background in product management with ownership of analytics or data-focused initiatives
• Experience building scalable dashboards and reporting frameworks for business stakeholders
• Familiarity with cross-platform measurement strategies across web and mobile applications

Education
Bachelor’s degree in a relevant field or equivalent work experience required.

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

About the Role

We are looking for an Analytics Engineer to join our internal Data Management team and help power data-driven decision-making across the organization. In this role, you will design and maintain scalable data models, pipelines, and transformation processes that enable analytics, reporting, and data science initiatives. You will collaborate closely with analysts, data scientists, and engineering teams to ensure reliable, efficient, and well-structured data that supports business insights and strategic initiatives.

What You’ll Do

• Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
• Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
• Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
• Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
• Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
• Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Technologies You’ll Work With

• SQL and relational databases
• Cloud platforms such as Azure, AWS, or GCP
• Programming languages such as Python, Java, or Scala
• Databricks and Spark
• Data warehouse technologies such as Postgres or Vertica
• ETL/ELT frameworks and data transformation tools

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• Strong proficiency in SQL and experience working with databases and data warehouse systems
• Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
• Experience with at least one programming language such as Python, Java, or Scala
• Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
• Ability to collaborate with cross-functional teams including analysts, engineers, and business stakeholders
• Strong written and verbal English communication skills (B2 level or higher)

Bonus Skills

• Experience working with Databricks and Spark
• Experience with Azure cloud services
• Experience with Postgres or Vertica data warehouse technologies
• Experience working with Salesforce data
• Experience building datasets used in analytics or reporting tools

What You’ll Get

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: The position is based in San Jose, Costa Rica. If the applicant is permanently located outside of Costa Rica, Veeam reserves the right to decline the application. All applications must be submitted in English.

#LI-FT1
#LI-REMOTE

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Make your impact within a rapidly growing Fintech Company

BILL.com’s Go-To-Market (GTM) Operations team is the connective tissue across Marketing, Product-Led Growth (PLG), and Sales — building the infrastructure, processes, and programs that enable scalable, data-driven growth. We're focused on creating frictionless user journeys, accelerating platform adoption, and delivering personalized experiences across the customer lifecycle.  

We are currently investing in strengthening our core operational backbone to ensure our data is accurate, our systems are integrated, and our campaigns are executed with precision.

We are looking for a Senior Marketing Operations Manager to serve as the architect and guardian of our marketing technology stack and processes. This person will work closely with GTM leadership to ensure efficient lead management, robust data governance, and seamless integration between our marketing automation platforms and CRM.

This is a critical role that blends technical expertise, strategic process design, and data analysis — ensuring that our marketing engine runs efficiently and that we can accurately measure the impact of our GTM initiatives.

Key Responsibilities

• MarTech Stack Management: Oversee the administration, integration, and optimization of the marketing technology stack (e.g., Marketing Automation, CDP, Direct Mail, etc.) to ensure scalability and performance.
• Lead Lifecycle Management: Own the end-to-end lead lifecycle, including scoring models, routing logic, and hand-offs between Marketing and Sales (SDR/AE) to ensure no lead is left behind.
• Data Integrity & Governance: Collaborate with Data Engineering and RevOps to maintain a clean, unified data ecosystem. Define and enforce data standards, enrichment processes, and compliance (GDPR/CCPA) rules.  
• Campaign Operations: Design and document standard operating procedures (SOPs) for campaign execution, ensuring consistent tracking, tagging, and attribution across all channels.
• Reporting & Analytics: Partner with the Analytics team to build and maintain dashboards that track campaign performance, pipeline attribution, and ROI, providing actionable insights to marketing stakeholders.
• Process Optimization: Proactively identify operational gaps, bottlenecks, and inefficiencies in our GTM motion and design scalable solutions to address them.
• Cross-Functional Alignment: Act as a primary liaison between Marketing, Sales Operations, and Business Systems to align on roadmap priorities and technical requirements.

We’d love to chat if you have:

Required Experience

• 5–7 years of experience in Marketing Operations, Revenue Operations, or a similar technical marketing role.
• Deep proficiency with Marketing Automation Platforms (Marketo, HubSpot, or Inflection.io) and CRM systems (Salesforce).
• Strong understanding of B2B marketing funnels, lead scoring models, and attribution methodologies.
• Experience managing data workflows, including list segmentation, data enrichment, and database hygiene.
• Ability to translate complex business requirements into technical specifications and process diagrams.  
• Experience working with CDPs (Segment, etc.) and data activation workflows is a strong plus.  

Preferred Qualifications

• Certification in major Marketing Automation Platforms (e.g., Marketo Certified Expert).
• Experience in a high-growth SaaS or Fintech environment.
• Proficiency with BI/Analytics tools (Looker, Tableau) and SQL basics.
• Familiarity with PLG motions and how they intersect with traditional inbound/outbound sales motions.

The Varicent Associate TAM works alongside Technical Account Managers within the Customer Success organization with a portfolio of clients who have subscribed to the VIP Program. The Associate TAM will act as a Varicent adviser to client resources with the aim to maximize the VIP client’s return on their Varicent investment. This will require building strong relationship with all stakeholders and supporting business goals by solving go to market challenges with innovative solutions. This will include answering product, process and solution specific questions as well as proactively monitoring existing solutions for optimal performance. Adapting and evolving existing solution with net new implementation and adoption of new features and functionality will help further drive the value of Varicent solutions. Working in tandem with the primary TAM, the Associate TAM will play an integral role in owning the customer’s technical success and supporting all system and solution–focused conversations.

KEY RESPONSIBILITIES 

• Advanced SQL is mandatory
• Support the primary TAM in monitoring the health and performance of Varicent solutions across a portfolio of VIP customers. 
• Assist in coaching users on foundational Varicent functionality, configuration concepts, and best-practice methodologies. 
• Participate in reviewing new features, fixes, and release notes to help assess potential impact on the customer’s environment. 
• Contribute to configuring Varicent solutions based on documented customer requirements, under guidance from the senior TAM. 
• Prepare and share monthly performance, utilization, and support-related metric summaries. 
• Analyze solution usage and data patterns to help identify potential issues or areas for optimization. 
• Assist in implementing proactive maintenance actions and solution improvements. 
• Collaborate with TAMs and Internal teams to troubleshoot errors, investigate defects, and support solution optimization efforts. 
• Identify opportunities for customer value realization and surface to the primary TAM for strategic review. 
• Contribute to customer conversations that frame Varicent products as targeted solutions to process challenges, enabling thoughtful upsell, cross-sell, and expansion motions. 
• Parter with the TAM team to support sustainable customer engagement, project outcomes, and product adoption. 
• Contribute to planning and estimating tasks within the Technical Success journey, ensuring alignment within available customer VIP entitlement. 
• Work with internal stakeholders to understand change management processes and assist in recommending improvements where appropriate. 
• Collaborate with TAMs to maintain reusable object repository. 

EDUCATION & EXPERIENCE 

• At least 5 years of experience in IT Consulting, Enterprise Software Implementation  
• Prior experience with Query Based Languages and Relational Databases 
• Technical data skills including strong experience with SQL data manipulation, Microsoft Excel 
• Preferred: Understanding of Sales Performance Management domain 
• Strongly Preferred: Hands on experience of Varicent software products (Administering, implementing and / or supporting)
• Basic knowledge of system configurations, data models, and data integration best practice concepts. 

PERFORMANCE BASED SUCCESS CRITERIA  

1-3 Months

During this time, the Associate Technical Account Manager will successfully: 

• Familiarize oneself with company culture, policies, escalation paths, and internal systems.  
• Training and onboarding will be completed.  
• Learn the various systems used in daily operations. 
• Participation in team meetings and events. 

Success Indicators: 

• Complete all onboarding activities and training with passing grades 
• Seen by peers as responsive and professional 
• Demonstrate curiosity and engagement 

4-6 Months

During this time, the Associate Technical Account Manager will successfully: 

• Begin managing defined customer work triaged by your Technical Account Manager cohorts. 
• Adhere to VIP program deliverables including task tracking against active initiatives. 
• Begin to prioritize tasks, escalate blockers, communicate effectively and demonstrate problem resolution, personal growth, and adaptability.  
• Support data validation, report creation, performance troubleshooting, and config changes as needed. 

Success Indicators: 

• Complete assigned technical work with some oversight 
• Demonstrate an understanding of model structure and customer needs 
• Provide meaningful updates and documentation 

7 Months & beyond

During this time, the Associate Technical Account Manager will successfully: 

• Candidate will manage a full client portfolio.  
• Operate as a trusted technical partner, supporting the TAM at a strategic level. 
• Independently deliver core TAM activities 
• Configuration work 
• Troubleshooting & support 
• Documentation of changes and existing build 
• Generating usage, performance, and status reporting (flagging important data points) 
• Participate in journey/plan execution 

After 12 months should be able to perform all duties of a TAM 

• Performing a complete Annual Health Check  
• Articulate findings, risks, and recommendations 
• Support value tracking & outcomes 
• Support cross selling initiatives by documenting use cases and your portfolio’s technical needs 

Success Indicators: 

• Customer confidence and satisfaction 
• Portfolio managed with minimal oversight and escalation 
• High-quality delivery within contractual hours 
• Annual Health Check completed independently

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.}

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are seeking a motivated Mid-Level Full-Stack Engineer to own the end-to-end lifecycle of our robot fleet telemetry, data management, and visualization tools. This role bridges the gap between raw hardware signals and actionable human-centric insights. You will design and maintain the data pipelines that process high-volume fleet telemetry while building the front-end interfaces that power fleet health monitoring, regression detection, and executive reporting.

Responsibilities: 

• Data Pipeline Engineering: Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.
• Full-Stack Development: Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.
• Data Visualization: Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.
• API & Framework Design: Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.
• Data Governance: Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.
• Cross-Functional Collaboration: Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.
• System Analysis: Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.

Requirements: 

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.
• Experience: 3+ years of industry experience in software development or designing telemetry/analytics platforms.
• Front-End Expertise: Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.
• Back-End & Data: Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).
• Infrastructure: Experience with Docker for containerization and deployment.
• Systems Interest: A strong interest in working on software systems that interact with real hardware.
• Communication: Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.

Bonus Qualifications: 

• Platform Experience: Direct experience using Databricks for data engineering, Spark processing, or analytics.
• Robotics: Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.
• Advanced Analytics: Experience supporting anomaly detection or ML-based telemetry analysis pipelines.
• Distributed Systems: Experience with distributed data processing tools such as PySpark.
• Custom Systems: Prior experience working with custom hardware/software integrations.

The US base salary range for this full-time position is between $150,000 - $240,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We are looking for an experienced Ignition Developer and MES Engineer to develop, support, scale, and optimize our established manufacturing systems. Our current environment is built on Ignition and Sepasoft, utilizing complex custom scripting and mature database architectures.

We are seeking a proactive engineer to play a key role in managing and enhancing this system, streamline existing processes, and drive continuous improvement across our production floor. As the vital link between our software systems and daily operations, a strong grasp of MES theory and real-world manufacturing is just as critical as your technical coding expertise.

Responsibilities:

• Take ownership of our existing Ignition platform, focusing heavily on developing, supporting, scaling, and optimizing existing and new MES features.
• Apply a deep understanding of MES principles to troubleshoot and improve our production data flow, routing, and track-and-trace capabilities.
• Navigate complex, existing SQL schemas and Sepasoft data models to extract operational data and build dashboards for quality, OEE, cycle time analysis, and production tracking.
• Design and deploy common-sense, intuitive UI screens in Perspective and enjoyable UX for all MES users.
• Manage, troubleshoot, and optimize our existing Sepasoft MES implementation.
• Apply Inductive Automation best practices to scale our gateway architecture, manage tags and UDTs, and optimize overall system performance.
• Integrate manufacturing equipment, PLCs, and edge devices into the MES to ensure accurate, real-time data collection.
• Work directly on the production line alongside operators to provide technical support during production hours.

Requirements:

• Extensive, hands-on experience developing in Inductive Automation's Ignition platform, specifically with advanced Jython scripting, Ignition Modules, and Ignition Perspective.
• Strong practical understanding of MES theory and manufacturing operations, including core concepts like flow execution, part traceability, OEE, WIP tracking, quality control, and downtime categorization.
• Proven ability to understand database schemas and data models, and compose queries and scripts to support production decision-making.
• A pragmatic, ego-free attitude with a proven track record of working effectively on the factory floor with production staff.
• Availability and willingness to work production hours to provide real-time support.
• Practical experience integrating MES with other enterprise systems like ERP and Inventory Management utilizing technologies like REST and RPC.
• Experience connecting Ignition to industrial hardware and PLCs using a variety of protocols (e.g., OPC UA, MQTT, Modbus).

Bonus Qualifications:

• Direct experience configuring, supporting, or deploying Sepasoft MES modules.
• Certifications in Ignition Core/Perspective or Sepasoft MES.
• Hands-on experience interfacing directly with Siemens and Allen-Bradley PLCs.
• Experience diagnosing gateway performance issues, standardizing and scaling Ignition deployments to increase performance and reliability.
• A background in software development, with a focus on implementing robust version control practices and reliable, repeatable deployment strategies for manufacturing software.

The US base salary range for this full-time position is $175,000 - $220,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Who We Are

About the team

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.

For California Only - The estimated annual salary for this position is between $132,000-$187,000 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

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests
• Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board.
• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
• Develop necessary data pipelines to power automation, validation and reporting
• Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform
• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
• Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities

We're excited if you have

• 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
• 5+ years of experience across consumer product, digital media or entertainment industries
• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
• Hands on experience with visualization tools like Tableau or Looker
• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
• Hands on experience in A/B testing and statistical modeling/forecasting

#LI-AN1

Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders. 
At The Trade Desk, we believe that each opportunity to engage with consumers is unique. User experience can make or break our business. This means our users must have all the flexibility to harness our system’s growing power and present meaningful insight from the petabytes of data streaming through our platform with unparalleled ease. 

 
Our system performs every day, 24/7, serving global traffic. We deliver features to improve our clients' abilities to make real-time decisions and troubleshoot campaigns with simple-to-use interfaces and high-performance data interactions. To improve our users’ day-to-day lives, we collaborate closely with user experience and product management organizations to ensure consistent, modern designs as well as the right balance of requirements. Our frontend developers work up and down the stack (client to server) to deliver these world-class experiences. 

What you’ll do:
Some of the work that you will be doing to help us deliver on our mission is:

• Design, build, deliver, and own full lifecycle development software from inception to production 

• Demonstrate a firm grasp of the entire software development lifecycle 

• Drive complex changes involving multiple components 

• Deliver quality changes, including automated tests, metrics, and monitoring  

• Collaborate with team members to deliver features 

• Guide and review changes to product features in line with product roadmaps  

• Implement and maintain product features 

• Build components and processes that are regularly used by others 

• Build execution plans incorporating user data, observations, and market insight 

• Validate changes to ensure high quality product releases 

• Work in a distributed system environment 

• Understand the business objectives behind the code 

• Understand system architecture fundamentals through self-directed learning 

• Participate in and lead projects with a high level of technical ambiguity 

• Contribute to development of comprehensive success criteria

• Lead others through example, mentorship, teaching

• Participate in hiring activities

• Use data to analyze and communicate the impact of your work on operational efficiency 

We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.
Who you are:
Our culture is much deeper than just 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 have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:

• You are comfortable working on an agile, distributed team spanning multiple time zones and continents. 

• You are able to communicate effectively across both technical and non-technical audiences. 

• You have a solid understanding of computer science and engineering fundamentals. 

• You are passionate about building beautiful and seamless user interfaces. 

• You have love for, and desire to advance, the state of the art of technology. 

• You are proficient in JavaScript/TypeScript. 

• You have experience building enterprise level services. 

• You have 7+ years of software development engineering experience.

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.

• You have additional nice-to-have experience in the following areas: languages/technology on the server-side (C#, Java, NodeJS, SQL), knowledge of front-end frameworks (React/Redux). 

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.

About the role

Muon seeks a Senior Technical Program Manager to lead Muon Space’s Programs efforts, responsible for successfully delivering solutions, products, and technology while managing cost and schedule baselines contracts with the U.S. Government and Commercial Organizations. The Program Manager will be a key member of the Mission Engineering team and collaborate closely with Muon Space’s engineering, business, legal, finance, and operations departments. You will also support the portfolio's growth by fostering organic growth on existing contracts and supporting captures of new contracts. 

As a Technical Program Manager at Muon Space, you delight our customers and users with high-quality products and solutions delivered on time and on budget, meeting our contractual obligations. You are cognizant of how all the pieces need to come together for successful program execution and can turn that into well-organized roadmaps, schedules, and budgets that you then track throughout the program lifecycle. You will be responsible for monitoring and ensuring successful execution of Muon’s contracts that you manage. You will support business development through proposals, RFI responses, customer engagement, and organic growth.

This role is based in San Jose with a hybrid schedule (3 days per week in-office).

Responsibilities

• Lead a multidisciplinary aerospace development effort, driving day-to-day execution of the program
• Engage with internal and external stakeholders to plan and coordinate the resources necessary to execute the program
• Synchronize a diverse technical team by establishing tools, practices, and process
• Participate in technical discussions, ask probing questions, and work with the team to pull together scoping, schedules, and solutions to issues
• Track and report program metrics on schedule, resource, cost, risk, and technical performance
• Serve as the face of the company to customers, subcontractors and suppliers

Qualifications

• 5+ years relevant experience in program management
• B.S. in an engineering discipline, M.S. or Ph.D. preferred
• Track record of successfully delivering complete systems (hardware, firmware, software, algorithms) on time, to scope, with high quality.
• Experience in development and/or program management of satellite based systems. Ability to instantiate and manage integrated master schedules.
• Expertise in modern, cloud-based productivity tools
• Excellent analytical and interpersonal skills, with ability to work successfully across all engineering disciplines.
• Experience in vendor and contract management

Nice-to-have Skills

• System engineering and experience with inter-discipline technical trade study
• Experience working with scripting languages (e.g. Python, Julia) and database queries (e..g SQL, BigQuery)  for data integration, analysis, and dashboarding.
• Experience in a fast-paced, startup environment
• Experience managing and growing teams

Salary

The salary range for this role is $175,000 - $208,000 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.

Marketing Science Analyst (Test & Learn)

San Jose, Costa Rica

As a Marketing Science Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 1 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, with a strong focus on in-market testing and evaluation. You understand the nature and purpose of the main Digital marketing channels, enjoy collaborating with others, and are able to communicate clearly and effectively.

 You will:

• Support the design and execution of Test & Learn programs, including hypothesis development, experimental design, test setup, and statistical evaluation of results.
• Assist in the ideation, development, and execution of measurement frameworks, including recommendations on experiment type (A/B/n, matched control, pre/post, geolocation, and incrementality studies).
• Translate complex test results into clear and actionable insights through storytelling and data visualization.
• Gather marketing data across paid and owned channels to analyze campaign performances, understand user behaviors, and report findings.
• Collaborate with internal teams and partner agencies to deliver cohesive, insight-driven recommendations to internal stakeholders and clients.
• Occasionally support senior colleagues with analytics material for new business pitches and request for proposals.
• Build and maintain reusable analysis templates and code (SQL, R, or Python) to streamline and scale measurement.

You have:

• Top-notch communication and collaboration skills.
• Strong attention to detail and comfort managing complex, fast-moving testing programs.
• Hands-on experience with common digital testing scenarios (e.g., creative tests, audience/targeting tests, budget allocation tests, or landing page tests) OR formal education including coursework in experimental design and statistical evaluation (e.g., identifying groups, controlling variables, calculating statistical significance).
• Familiarity with statistical analysis techniques and quantitative methods.
• Comfort working with imperfect, observational data and applying appropriate techniques for bias reduction to derive credible directional insights.
• Strong understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another.
• Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people.

What We Offer:

• Maternity and parental leave extra days
• Competitive benefits packages
• Vacation, compassionate leave, sick days, and flex days
• Access to online services for families and new parents
• Diversity and Inclusion Board with 12 affinity groups
• Internal learning and development programs
• Enterprise-wide employee discounts
• And more…

At Critical Mass, we value our employees and offer competitive compensation and benefits packages.  If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!

The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.

The ask stems from our want to:

Strengthen opportunity for continuous learning
Improve collaboration and team relationships.
Increase employee engagement

This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.

As a Marketing Science Senior Analyst, you will co-lead the design and execution of measurement strategies, advanced analytics, and content intelligence programs that drive media performance in B2B environments.  

You will partner with stakeholders to translate business objectives into KPIs, build scalable frameworks, and deliver actionable insights that optimize campaigns across creation and progression. Your expertise in data science, reporting, and testing ensures that marketing investments are measurable, transparent, and continuously optimized.  

You will: 

Measurement Strategy  

• Build and maintain measurement frameworks mapping campaign objectives to KPIs.  

• Assess current measurement approaches and recommend updates aligned with media plans.  

• Establish baselines using historical data and ensure governance protocols are documented.  

• Share updated frameworks with stakeholders to inform insights, learnings, and optimizations.  

Content Intelligence & Insights 

• Deliver regular insights and optimization recommendations (monthly cadence).  

• Support Quarterly Business Reviews with reporting and analysis.  

• Provide creative and media optimization recommendations.  

• Develop recap deliverables for prioritized campaigns and key moments.  

Advanced Analytics  

• Conduct analyses aligned to the Learning Agenda (e.g., forecasting, correlation studies, brand sentiment, ad- fatigue).  

• Build descriptive and inferential statistical models to evaluate campaign effectiveness.  

• Develop machine learning models for personalization, lead scoring, and progression analysis.  

Learning Program  

• Design and scale a structured Learning Agenda across media activities.  

• Build testing frameworks (A/B/M/V) and deliver test readouts.  

• Document best practices and maintain a centralized Learning Library dashboard.  

Data & Dashboards  

• Build and manage unified data foundations integrating campaign, programmatic, partner, and brand study data.  

• Establish anomaly detection mechanisms and QA processes.  

• Design and maintain dashboards (campaign performance, programmatic/social, partner data, brand studies).  

• Ensure taxonomy alignment across data sources and reporting views.  

Tagging, Trafficking & Taxonomy  

• Consult on tagging, trafficking, and UTM requirements to ensure measurement consistency.  

• Generate and manage Creative IDs (CID) database.  

• Support QA processes and flag trafficking issues based on anomaly detection.  

Collaboration & Leadership  

• Provide direction to associate analysts and analysts.  

• Contribute analytics content for proposals, pitches, and thought leadership initiatives.  

• Partner with stakeholders to align measurement, insights, and optimization priorities.  

You have: 

• B.S. degree in a quantitative or technical field (Economics, Mathematics, Computer Science, Business, etc.)  

• 3–5 years of experience leading analytics deliverables in media marketing science, ideally within B2B contexts.  

• Expertise in analytics platforms (Adobe Analytics, Adobe Experience Platform, Google Analytics, enterprise analytics tools, tag management systems).  

• Strong proficiency in Python, R, SQL, or other statistical programming languages.  

• Experience with ETL/data integration, automated reporting pipelines, and anomaly detection.  

• Skilled in data visualization platforms (Tableau, PowerBI).  

• Familiarity with machine learning techniques applied to media performance and personalization.  

• Experience analyzing B2B digital channels (paid search, display, CRM-driven campaigns, ABM (Account based marketing) platforms.  

• Understanding SEM, CRM, and account-based marketing integration within broader media strategies.  

• Knowledge of market research techniques and their application to media optimization.  

This role ensures that media marketing science is directly tied to business outcomes. By building robust measurement frameworks, delivering content intelligence, and driving advanced analytics, you will empower enterprise clients to optimize campaigns, enhance customer experiences, and achieve measurable growth in B2B markets.  

What We Offer:   

• Global maternity and parental leave   
• Work-life balance  
• Competitive benefits packages   
• Vacation, compassionate leave, wellness days, and flex days   
• Access to online services for families and new parents  
• Diversity and Inclusion Board with 13 affinity groups   
• Internal learning and development programs   
• Asociación Solidarista - You can join voluntarily 

“The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible!  Our new hires & employees are the future of our organization, and we want to set you up for long-term success.  In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.  The ask stems from our want to:  

Strengthen opportunity for continuous learning

Improve collaboration and team relationships.  

Increase employee engagement  

We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.”  

What you’ll do

• Ensure the airframe, airframe components, assemblies, and systems meet design, quality, safety, regulatory, and industry-specific requirements
• Work closely with design engineers, manufacturing engineers, and other departments to ensure smooth product transitions from design to production. Provide technical guidance on quality-related issues
• Support the development and roll out of Advanced Product Quality Planning techniques such as PFMEAs, control plans and SPC
• Lead the establishment of inspection plans
• Conduct or support First Article Inspection in compliance with SAE AS9102 
• Conduct or support Material Review Board dispositions
• Identify, lead, and support continuous improvement initiatives for airframe manufacturing processes, including root cause analysis and corrective/preventive actions (CAPA).
• Develop reports summarizing quality performance, findings, and recommendations for corrective actions
• Develop metrics and KPIs to assess and act on the health of the manufacturing systems to drive continuous improvement
• Identify potential risks and work with cross-functional teams to mitigate risks and develop contingency plans
• Develop and support the training of team members and other stakeholders on quality standards, practices, and tools
• Assist in the planning and process for company inspection in support of FAA and Company conformity inspection and certification process

What you need

• Bachelor's degree (or higher) in Engineering (Aerospace, Mechanical, Electrical or Industrial) with at least 5+ years experience 
• Experience creating and approving first article inspections with working knowledge of the tools required for inspection
• Experience with MES systems and creating inspection plans electronically
• Experience with CAD, PLM, and ERP software
• Experience with APQP - creating PPAPs, DFM, MSAs, FMEAs and SPC.   
• Experience working in a manufacturing environment in aerospace or other highly regulated environments
• Experience with design reviews including assessing the ability to verify dimensional requirements GD&T ASME Y14.5 (Geometric Dimensioning and Tolerancing)
• Demonstrated experience in statistical process control and GD&T
• Knowledge of Quality Standards such as AS9100, AS9102, AS9103, AS9145, and AS6500.

Bonus qualifications

• Experience with SAP
• Experience creating real time dashboards using Sigma or Microsoft BI
• Experience with conformity inspection and working with the FAA and Designees
• Six Sigma Black/Green Belt or ASQ Certified Quality Engineer
• Experience with developing/validating automated inspection equipment in a manufacturing environment including working with SQL languages
• Experience with aircraft or composite assembly processes
• Assist in the planning and process for company inspection in support of FAA conformity inspection and certification process
• EV/eVTOL knowledge or experience in Aerospace

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $124,000 - $160,000. Actual compensation offered will be determined by job-related knowledge, skills, and experience.        

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.

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.

What you’ll do:

• Design, implement, and maintain internal software libraries and applications as well as computing infrastructure to enable engineers to solve problems faster and more efficiently. Promote the use of shared computational infrastructure, tools, and practices across engineering teams within the Flight Sciences department.
• Develop processes and software tools to improve the reproducibility and traceability of computations. Drive the implementation of such tools.
• Promote a culture of software excellence across the engineering organization.
• Understand the needs of various engineering teams to efficiently utilize High-Performance Computing (HPC) resources, and make informed decisions on infrastructure solutions to ensure optimal resource utilization and cost savings.
• Maintain and administer on-premises HPC resources. 
• Advocate for engineering and computing needs with the company-wide IT department.

What you need:

• Master's or Ph.D. in Aerospace Engineering, Mechanical Engineering, Computational Engineering, or a related field.
• 5+ years of experience as a user and developer of scientific/engineering software for flight sciences or similar disciplines (such as aerodynamics, acoustics, control, loads, thermal analysis, mass properties, vehicle simulation, etc.) in a fast-moving environment.
• Demonstrated experience in developing computing software and infrastructure, with proficiency in the scientific Python ecosystem (NumPy, SciPy, Pandas, Scikit-learn, TensorFlow/PyTorch, VTK).
• Demonstrated experience in standard best practices in software development, including version control, CI/CD, software testing, environment management.
• Demonstrated experience with the design and administration of HPC systems, either on-premise or cloud (AWS preferred). Knowledge of Linux administration, high speed network interconnects, parallel file systems, and MPI required.
• Experience with HPC management software (Slurm/PBS/Torque, OpenHPC/Bright, Warewulf/XCat, Spack/EasyBuild, Lmod).
• Good understanding of enterprise IT and common network security practices.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.

Bonus qualifications:

• Experience as an engineer in one or more of the following areas of aircraft design - aerodynamics, conceptual design, rotor/propeller design, vehicle simulation, loads and dynamics, structural design, stress analysis, GNC.
• Contributions to open source scientific software projects.
• Experience with MATLAB and Simulink.
• Proficiency in one or more compiled languages (e.g. C/C++, Fortran, Rust).
• Familiarity with databases (SQL, NoSQL, time-series) and database application design (ORM/ODM).
• Experience with software packaging (Pip, Conda, Spack) and containerization technologies (Docker/Singularity/Shifter) for scientific software.
• Familiarity with software configuration management tools (Chef/Puppet/Ansible).
• Familiarity with common CI/CD tools and practices (TeamCity/Jenkins, Artifactory, Docker, etc.).
• Experience with analysis tools and workflows for aircraft/rotorcraft design (aerodynamics, CFD, GNC, loads, structural analysis, CAD, mass properties, etc.).

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $162,800 - $217,600. Actual compensation offered will be determined by job-related knowledge, skills, and experience.        

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.

About the team

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.

For California Only - The estimated annual salary for this position is between $140,250 - $169,400 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

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests
• Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board.
• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
• Develop necessary data pipelines to power automation, validation and reporting
• Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform
• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
• Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities

We're excited if you have

• 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
• 5+ years of experience across consumer product, digital media or entertainment industries
• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
• Hands on experience with visualization tools like Tableau or Looker
• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
• Hands on experience in A/B testing and statistical modeling/forecasting

#LI-AN1

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.}

About the role

Muon seeks a Spacecraft Test Engineer to join our Assembly, Integration, and Test team.  The ideal candidate is a self-motivated engineer and is responsible for understanding every system on the satellite. Engineers on this team must have a working knowledge of design schematics, operations, manufacturing, testing, and flight. A successful Spacecraft Test Engineer demonstrates engineering intuition and critical thinking and is comfortable working under ambiguous requirements. They will interface with other engineers, subject matter experts, and technicians to solve production challenges, support with prototype projects, and to prepare flight hardware as a part of building the satellites.

Responsibilities

• Enable day-to-day execution of spacecraft integration and test flow
• Support non-conformance investigation to determine root cause
• Support AIT in the setup and activation of production lines and development and qualification of hardware test setups
• Support the development of flight hardware, ground support equipment and qualification test assets
• Support electrical engineering during development and pre-production phases of hardware life-cycles, as required
• Perform bring-up and acceptance tests of PCBAs, as required

Qualifications

• B.S. in Computer Science or Computer, Electrical, or related engineering discipline
• 5+ years experience in aerospace or similar industry
• Familiarity with programming and scripting languages or ability to quickly learn them (i.e. Python, Tcl, C++, SQL)
• Hands-on experience using electrical test equipment (multimeters, oscilloscopes, power supplies, etc.)
• Understanding and experience in environmental testing such as vibration, shock, thermal, burn-in, and TVAC
• Excellent verbal and written communication skills
• Demonstrated capability to jump into ill-defined problems and drive positive outcomes
• RF Experience

Nice-to-have Skills

• Experience working in a Class 10k (ISO 7) cleanroom environment
• Documentation and configuration management experience
• Experience writing test plans, procedures and providing go/no-go judgment and rationale
• Experience troubleshooting electronics hardware 
• Proficiency in understanding PCB schematics and layout tools

Salary

The salary range for this role is $123,000 - $139,000 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.

What we do

Our Lead Senior Staff Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering the foundational experiences that make The Trade Desk platform exceptional for the traders who rely on it every day.

The Desk Fundamentals team sits within the Core Workflows engineering organization and owns the platform UI framework that the rest of our buying-side engineering teams build on top of. Our mission is straightforward but demanding: deliver consistent experiences, logical navigation, and user-friendly page components at platform scale. We own the shared design patterns and frontend frameworks that empower other teams to ship features quickly and reliably. We build and evolve the Portfolio Views that give traders clarity into performance across partners and advertisers. We maintain the Programmatic Table — one of the highest-traffic surfaces on the platform — and we are the team that sets the bar for what quality looks like across The Trade Desk's core product.

At The Trade Desk, we believe that each opportunity to engage with all internal and external stakeholders is unique. This means that based on your interests and background, you will have the opportunity to work on large-scale, distributed systems — for example, coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, advanced data visualizations, and interactive user interfaces, to name a few.

Our system performs every day, 24/7, serving global traffic. It's important that we focus on quality at scale in an agile environment based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long-term roadmaps while enhancing existing features or tools and continuously improving efficiency.

What you’ll do

It's the best of both worlds — you'll get a chance to exercise your technical leadership and build up your people management and leadership skills. Some of the work that you will be doing to help us deliver on our mission includes the following:

Technical leadership

• Actively review designs, code, and architecture across the team's surface area, from the platform framework to the data-rich tables and panels that traders use every day.

• Deliver meaningful, technical, and hands-on contributions to the team's objectives, from architectural decisions on our shared UI framework to concrete pull requests.

• Understand strategic business priorities and communicate with the team on how their work connects to the broader roadmap and company goals.

• Drive the technical direction for how other engineering teams within Core Workflows — and across the broader organization — build on top of the platform framework the Desk Fundamentals team owns.

Project level processes and execution

• Collaborate with the PM team to develop the roadmap and MVP plans, translating complex UX and platform consistency challenges into clearly scoped, executable engineering work.

• Develop execution plans including resources, milestones, and timelines for roadmap initiatives.

• Define and track the business KPIs and user-facing metrics that connect the team's engineering work to meaningful outcomes, ensuring the team understands the impact of what they ship.

• Continuously analyze and optimize team efficiency, removing blockers and ensuring the team ships with quality.

• Establish and deliver on team commitments, and communicate important developments and changes to area leadership and other stakeholders.

• Measure and maintain the quality of the team's contributions, including platform reliability, consistency, and developer experience for the teams building on top of what we own.

People management

• Manage a small team of talented engineers, serving as both their technical leader and their people manager.

• Help team members develop career growth plans and accelerate toward their next level.

• Give regular and effective feedback, and hold weekly 1:1 meetings with direct reports.

• Conduct annual reviews and make compensation recommendations.

• Foster an inclusive, psychologically safe team culture where diverse perspectives are genuinely valued.

Who you are

Our culture is much deeper than just 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 have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:

• You have a solid understanding of SDLC (Software Development Life Cycle), DevOps, and agile methodologies.

• You have a solid understanding of cloud computing and the trade-offs of large-scale, distributed web applications.

• You have a solid understanding of design patterns and software architecture, including frontend systems design and component-based architectures.

• You have experience contributing to the professional growth of software engineers, and a proven track record of growing multiple senior engineers and tech leads.

• You have experience providing technical and project leadership of initiatives involving multiple teams, including platform or framework work where your team's decisions directly affect the velocity and quality of teams outside your own.

• You have experience leading and completing projects with a high degree of technical ambiguity.

• You have experience driving major, strategic, company-wide initiatives with significant risk.

• You have experience hiring and conducting interviews.

• You are proficient in one or more of the following programming languages: TypeScript/JavaScript, C#, Java, C, C++, Python, SQL, or Scala.

• You have 13+ years of software development engineering experience.

• You have 1+ years of experience directly managing people.

• You have a Bachelor's/Master's level degree in computer science or a relevant engineering-related field, or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.

• You have additional nice-to-have experience in the following areas: full-stack web development, frontend framework design, data visualization and table-heavy UI systems, distributed systems, microservices, Kubernetes, and AI/LLM integration into production applications.

We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.  

Summary:

As a Senior Data Strategy & Analytics Analyst, you will play a key role in ensuring high-quality data delivery, improving reporting frameworks, and supporting deeper analysis to inform internal decision-making. This role builds on strong data foundations and introduces more advanced analytical thinking, while maintaining a focus on scalable execution and operational excellence.

You will work closely with internal and cross-functional teams to enhance data processes, support performance analysis, and contribute to more efficient and data-driven decision-making across accounts.

What You Will Do:

• Manage digital media, third party, and client data across multiple clients.
• Lead data ingestion, QA, transformation, and validation processes for complex datasets.
• Design, build, and maintain scalable dashboards and reporting solutions (e.g., Tableau, Datorama, Looker, Power BI) aligned with business needs.
• Identify, troubleshoot, and proactively resolve data discrepancies, tracking issues, and reporting gaps.
• Support the analysis of performance trends, helping internal teams better understand drivers and areas of opportunity.
• Contribute to deeper analyses and structured approaches that inform optimization and decision-making.
• Partner with cross-functional teams to understand data needs and deliver clear, actionable outputs.
• Collaborate closely with US-based leads to gain exposure to client needs, business context, and performance drivers.
  Contribute to automation of reporting and data workflows to improve efficiency and scalability.
• Support improvements in data processes and help identify opportunities to streamline operations.
• Develop an understanding of how data flows across systems and support data integration efforts.
  Collaborate with technical teams to support data-related initiatives and troubleshooting.
• Help standardize data workflows, documentation, and best practices across accounts.
  Gain exposure to more advanced methodologies (e.g., testing approaches, structured analyses) as part of ongoing development.
• Develop strong familiarity with digital marketing platforms, data structures, and internal tools.

Must Have:

• 3+ years of experience in data, analytics, or digital marketing environments.
• Strong analytical and problem-solving skills, with the ability to work through ambiguous or undefined challenges.
• Advanced proficiency in Tableau, SQL and strong Excel or GSheets skills (mandatory).
• Experience working with large datasets and multiple data sources.
• Experience building dashboards or reporting solutions.
• Ability to manage multiple priorities and work independently.
• Strong communication skills in English (B2+/C1 level).
• High attention to detail and strong sense of ownership.
• Exposure to AI tools or a strong willingness to develop skills in AI-driven solutions and automation.
• Ability to work in a fast-paced, team-oriented environment.
• Bachelor Degree in Data Analytics, Computer Science or related fields. 

Nice to Have:

• Experience with other data visualization tools (e.g., Datorama, Looker, Power BI).
• Exposure to digital marketing or media analytics.
• Familiarity with statistical concepts, testing methodologies, or performance analysis frameworks.
• Exposure to scripting or automation tools (e.g., Python).
• Interest in more technical aspects of data (e.g., data pipelines, data architecture).
• Experience supporting cross-functional teams with data-driven insights.

Benefits & Perks

• Competitive health and dental benefits.
• Tuition reimbursement and training stipend.
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend.
• “Work from Anywhere” 4 weeks per year.
• Stocked kitchen, and other team outings.
• Collaborative and friendly work space, easily commutable location.
• Volunteering & altruism opportunities.
• Team building lunches and events, and company celebrations: Summer, Halloween, Holidays, and many multicultural holidays recognized/celebrated.
• If something is important to you that’s not listed here, let us know!

Career & Development Focus

• Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events.
• Opportunities to pursue business related side projects and Hackathons.
• Environment of learning from peers, including 30+ class training program, Kepler University, powered by Center of Excellence and Tiger Team subject matter expert groups.
• Opportunity to work with cutting edge technology and industry thought leaders.
• Kepler Rocket Mentorship Program: beneficial for the development of both mentors and mentees.

**All applications must include a Resume & Cover Letter in English to be considered. 

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

Position Summary

Antora is seeking a Senior Controls & Software Engineer to own the integration of the control systems and software that power our Thermal Energy Storage (TES) modules, industrial boilers, and complex balance-of-plant (BoP) systems.

This is a high-impact, site-based role for an engineer who thrives at the intersection of physical hardware and digital logic. You won't just be maintaining legacy systems; you will be architecting the brain of a first-of-a-kind energy technology. We are looking for a start up mindset  who leverages modern tools to accelerate traditional industrial automation workflows, using AI to streamline code generation, automate documentation, and rapidly troubleshoot complex system behaviors.

This role is strongly preferred to be located full time in San Jose, California but open but, remote considered with 25% travel

Roles & Responsibilities

• System Architecture: Architect, design, and iterate on PLC and SCADA software for Antora’s TES and BoP systems, ensuring seamless integration between thermal storage and industrial heat delivery.
• End-to-End Ownership: Take full ownership of software lifecycles for specific projects, driving logic from initial concept through to site-wide implementation and commissioning.
• Technical Documentation: Write and maintain high-fidelity Process Control Narratives (PCNs), Cause and Effect Diagrams, State Diagrams, and Controls Operations Manuals.
• QA & Validation: Develop rigorous test plans, automated check tools, and QA procedures to ensure software reliability in high-stakes, high-temperature environments.
• Site Execution: Provide expert onsite and remote support for logic-related issues during commissioning, ensuring rapid resolution of "field-found" challenges.
  Continuous Improvement: Design and commission upgrade projects for existing sites, using data-driven insights to improve system efficiency and uptime.

Key Qualifications

• Education & Experience: B.S. in Engineering (Electrical, Software, Mechanical, Automation, or related) and/or 5+ years of experience in demanding industrial environments (e.g., Oil & Gas, Chemicals, Power Plants).
• Controls Expertise: Proven track record programming "greenfield" and "brownfield" PLC and SCADA software, with specific proficiency in Allen Bradley (Studio 5000) and/or Ignition (Inductive Automation).
• Communication Protocols: Familiarity with industrial protocols including Modbus, CAN bus, Ethernet/IP, and Profinet.
  Hardware Fluency: Ability to read and interpret electrical schematics and P&IDs, providing accurate red-lines for field modifications.

Additional Qualifications Desired

• Process Engineering Depth: Experience with high-temperature fluid loops, steam generators, or large-scale industrial boilers.
• Software Agility: Proficiency in Python, VBA, or SQL for data analysis and test automation, especially when leveraging AI for rapid script development.
• Commissioning Leadership: Hands-on experience developing and performing ITPs, Loop Checkouts, FAT, and SAT.
• Power Hardware Experience: Practical experience with VFDs, Motor Starters, SCRs, and high-precision instrumentation (RTDs, Thermocouples, Transmitters).
• Startup Resilience: Experience in a fast-paced environment where you are expected to operate with high ownership and adapt quickly to evolving project requirements.
• AI forward mindset: Utilize AI to automate 

Work Location:  Onsite in San Jose, CA preferred, but Remote considered with 25% travel

Salary Range:  $154,000 USD - $202,000 USD

Salary Basis:  Annual