Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments – building for Unified Commerce. With Terminal, businesses can unify their in-person and online experiences, unlocking payments use cases that are right for their business model – whether it’s creating a modern retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event.

Within Terminal, the Developer Productivity team empowers mobile, full-stack and embedded/firmware engineers to ship high-quality products quickly and safely. We build tools, processes and infrastructure that accelerate engineers across multiple teams. Our work is critical to supporting Stripe’s in-person payment products and, ultimately, to helping increase the GDP of the internet.

We own a diverse tech stack, including build and developer productivity tooling for mobile engineers; release tooling that enables Terminal releases across SDKs, Android apps and firmware; and test automation infrastructure that helps product engineers ensure the quality and reliability of what they ship. As an engineer on this team, you’ll shape and deliver major pieces of this tooling and infrastructure and help raise the bar for developer experience across Terminal.

What you’ll do

Responsibilities

• Design, build and maintain tools, libraries and infrastructure that improve the productivity of Terminal engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD and test automation systems for Terminal SDKs, Android apps and firmware.
• Work with stakeholders across Terminal to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.
• Based in the PST time zone

Preferred qualifications

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel. 

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact. 

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality. 

What You’ll Do 

• Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it. 

• Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time. 

• Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift). 

• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start. 

• Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high. 

• Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain. 

• Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences. 

What We’re Looking For 

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document. 

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.  

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft. 

Nice to Have 

• MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms). 

• Domain knowledge in Healthcare, Political, or Retail verticals. 

Tech Stack 

Why You’ll Love It Here 

• Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored. 

• AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future. 

• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it. 

• Collaborative, low-ego team that genuinely enjoys working together and learning from each other. 
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits. 

BENEFITS & PERKS

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

SALARY RANGE

The salary range for this role is $200,000 - $220,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-YW1

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel. 

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact. 

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality. 

What You’ll Do 

• Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it. 

• Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time. 

• Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift). 

• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start. 

• Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high. 

• Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain. 

• Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences. 

What We’re Looking For 

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document. 

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.  

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft. 

Nice to Have 

• MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms). 

• Domain knowledge in Healthcare, Political, or Retail verticals. 

Tech Stack 

Why You’ll Love It Here 

• Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored. 

• AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future. 

• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it. 

• Collaborative, low-ego team that genuinely enjoys working together and learning from each other. 
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits. 

BENEFITS & PERKS

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

SALARY RANGE

The salary range for this role is $200,000 - $220,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-YW1

Define and maintain test automation strategies, tools and frameworks to test cloud-based and on-prem web applications. Develop, design and maintain tools and solutions include but not limited to developer infrastructure, build and test frameworks, CI/CD infrastructure and release process automation. Lead discovery of next generation solutions and work with wider engineering teams on implementation, adoption and continuous improvements. Evangelize and automate best practices for code writing, build, tests, CI/CD pipelines, and release process. Lead the design and implementation of solutions and framework which impacts developer experience for the entire organization. Monitor computer applications functioning to ensure specifications are met, and apply technical skills to effectively troubleshoot and thoroughly resolve the root cause of defects. Act as a technical subject matter expert, provide technical leadership and share your expertise with a growing team of engineers. Continuously raise Ripple's standard of engineering excellence by implementing and driving best practices for coding, testing, and deployment. 

Telecommuting permitted up to 50% per week within same geographic location as assigned office location. 

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. 

MINIMUM REQUIREMENTS: 

Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering or a related field plus 8 years of progressive, post-baccalaureate software development experience.

Alternatively, will accept Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering or a related field, plus 6 years of experience in Software development experience.

Of the required experience, must have 6 years working as a developer in test on large-scale distributed systems.

Must have 4 years of experience working with:

• CI/CD implementation, building tools and frameworks, including Gitlab.
• Python

Must have 3 years of experience working with Deployment automation

Must have 2 years of experience in:

• Cloud tools (AWS or GCP) and cloud based architectures
• working as a tech lead, including reviewing code or test frameworks developed by junior software engineers and providing performance feedback
• designing and building scalable and high performing Test Automation frameworks in Java. 

#LI-DNI

About the Role

As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers.

Your primary responsibilities will include handling customer escalations through our ticketing system, using internal observability tools to diagnose and scope customer-facing issues, collaborating directly with customers via Slack and other channels, and developing internal tools and documentation to improve the support experience. Since we view every support escalation as an opportunity to learn, both as individuals and as a company, you will play a critical role in providing feedback to our product team on common challenges and influencing our product roadmap.

What You'll Do

• Provide technical guidance to customers’ developers on best practices for integrating with our APIs and utilizing our functionality.
• Troubleshoot any issues that arise from customers and diagnose any blockers. Escalate issues with customer context to the engineering team.
• Develop internal tools to automate customer workflows that are currently unavailable in our product. Provide feedback on recurring patterns and advocate for addressing feature gaps in the product.
• Design and assist in implementing a comprehensive knowledge base to assist customers with using our product.

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

Compensation

The estimated base salary range for this role is $137,000 - $205,600. In addition to your base salary, Metronome offers a competitive total rewards package, including but not limited to, market-benched equity, sales incentive pay (for eligible roles), comprehensive health benefits, and other benefits listed below.

The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.

We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!

The Role

We are looking for an experienced Senior Software Engineer to join our Engineering Enablement (Builder Tools) engineering team with a mission to enable SoFi engineers to innovate in fintech and elegantly solve problems. In this role, you will be a key contributor to the design, development and scalability of our developer productivity tooling. You will elevate developer experience by enabling engineers with foundational systems. You will take on complex and interesting problems in a fast-paced, and highly collaborative organization. The ideal candidate will be a deeply technical and curious engineer who is comfortable owning solutions from initial design to implementation and ongoing operational excellence, with a strong sense of ownership and passion for quality. 
 

What You’ll Do:

• Technical leadership - Provide leadership for the technical design, delivery and operational excellence of code, build, CI/CD platforms, and related developer tooling.

• Innovate - Collaborate with cross-functional teams to drive innovation in developer tooling, and advancements including AI assisted developer productivity flows.

• Expertise  - Become a subject matter expert for one or more developer tooling domains,  including operational excellence aspects. 

• Mentor - Collaborate with engineers in the team, provide mentorship, and share domain  expertise to enhance the overall technical capabilities of the team.

• Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.

• Collaborate – Build strong working relationships with coworkers and cross-organizational teams.

• Influence - Implement and influence the adoption of developer tooling and best practices.

What You’ll Need:

• Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

• 5+ years software development experience.

• Experience developing in a cloud environment (AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies and service meshes (e.g., Istio, Envoy). 

• Expertise -  Expertise in one more of the following domains: build systems for JVM ecosystem (e.g., Gradle, Bazel), AI assisted developer tools (e.g., CoPilot, Amazon Q),  and CI/CD systems (e.g., ArgoCD, Gitlab Runners, BuildKite).

• Coding Skills - Proven coding skills (e.g., Java, Kotlin, Python) delivering large scale systems with infrastructure automation (e.g., Terraform).

• Problem solving -  Strong problem solving and programming fundamentals (algorithms, data structures).

• Design - Strong understanding of software design principles, and distributed systems architecture.

• Project Ownership - Ability to independently plan, manage and own deliverables, from scoping through launch. Experience working with Agile development processes.

• AI Tools: Experience with AI Tools (Cursor, Claude Code, MCPs etc.)

• Strong Interpersonal  skills - Excellent written and verbal communication skills. Demonstrated ability to collaborate well with a team, and proven skills to operate effectively in cross-functional teams. 

Nice to have:

• Experience with monitoring, tracing and logging systems (e.g. Datadog, Elastic, Splunk).

• Experience with security, compliance, and risk management in cloud and fintech environments.

Senior Enterprise Account Executive 

Location: This is a remote role, covering the Western states. 

Black Duck helps organizations build secure, high‑quality software by minimizing risk and maximizing development speed. As a pioneer in application security, Black Duck delivers industry‑leading SAST, SCA, and DAST solutions that help teams identify and remediate vulnerabilities across proprietary code, open‑source components, and application behavior. With powerful tools, services, and deep expertise, Black Duck enables organizations to secure the modern software supply chain and strengthen DevSecOps practices. 

Role Summary 

The Senior Enterprise Account Executive (Hunter) is responsible for acquiring new enterprise customers, penetrating greenfield accounts, and driving net‑new revenue for Black Duck’s Application Security platform, with a primary focus on Software Composition Analysis (SCA) and open‑source risk management. 

This role is built for a high‑energy, high‑impact seller who excels at prospecting, competitive displacement, and closing complex enterprise deals. You will engage senior engineering, security, and DevOps leaders to position Black Duck as the strategic solution for modern software supply chain security. 

Core Responsibilities 

New Logo Acquisition & Revenue Growth:

• Own the full new‑business sales cycle—from prospecting and qualification to technical evaluation, negotiation, and close. 
• Build and execute territory plans targeting high‑value enterprise prospects across industries. 
• Identify and develop greenfield opportunities through outbound prospecting, partner collaboration, and market intelligence. 
• Drive competitive takeouts and position Black Duck as the preferred SCA and AppSec platform. 
• Consistently achieve new‑logo ARR targets and pipeline creation goals. 

Executive Engagement & Value Selling:

• Build multi‑threaded relationships with CISOs, CTOs, AppSec leaders, DevOps executives, and procurement stakeholders. 
• Lead executive‑level conversations around open‑source governance, SBOM strategy, and secure SDLC modernization. 
• Deliver compelling business cases that quantify risk reduction, compliance alignment, and developer productivity gains. 

Sales Execution & Deal Leadership:

• Run disciplined, high‑velocity sales cycles with strong qualification, forecasting accuracy, and CRM hygiene. 
• Partner with Sales Engineering to guide prospects through technical validation, PoCs, and integration discussions. 
• Navigate complex procurement processes, legal reviews, and multi‑stakeholder decision cycles. 
• Collaborate with Marketing and SDR teams to accelerate pipeline generation and campaign execution. 

Market Expansion & Thought Leadership:

• Represent Black Duck at industry events, conferences, and customer briefings. 
• Provide market feedback to Product and Marketing to influence roadmap and positioning. 
• Stay current on AppSec trends, regulatory pressures, and emerging software supply chain risks. 

Qualifications 

Required

• 7–10+ years of enterprise new‑business sales experience in cybersecurity, DevSecOps, developer tooling, or related technical domains. 
• Proven track record of hunting and closing large, complex enterprise deals with multi‑million‑dollar ARR impact. 
• Strong understanding of Application Security, SCA, SBOM, and modern software supply chain challenges. 
• Ability to engage both technical and executive audiences with credibility and confidence. 
• Exceptional prospecting, negotiation, and strategic selling skills. 

Preferred 

• Experience selling SCA or AppSec platforms (e.g., Black Duck‑style solutions, Snyk, Veracode, Checkmarx, GitHub Advanced Security). 
• Familiarity with CI/CD ecosystems (GitHub, GitLab, Jenkins, Azure DevOps, Bitbucket). 
• Background selling into Fortune 500 or global enterprise organizations. 

Success Indicators 

• Consistent attainment of new‑logo ARR and pipeline generation targets. 
• Strong competitive win rates and successful displacement of incumbent solutions. 
• Rapid expansion of Black Duck’s footprint within target industries and territories. 
• High‑quality forecasting and disciplined sales execution. 

We are seeking an Account Partner, Professional Services to define and scale Professional Services growth strategies, drive organizational excellence, and establish measurable customer outcome frameworks across PagerDuty's enterprise and strategic customer segments. This role owns the evolution of our services go-to-market motion, architects repeatable engagement models, and partners with Sales, Customer Success, Solutions Engineering, Delivery, Product, and Marketing leadership to align advisory, implementation, enablement, and automation services to market needs spanning incident response, AIOps, and service ownership.

The ideal candidate is a strategic leader and consultative seller who builds organizational capabilities, defines best practices that scale across the Professional Services team, translates market insights into service innovation, and consistently drives portfolio-level growth, customer outcomes, and team effectiveness.

Job Responsibilities

Pipeline Development & Selling Motion

• Architect and execute multi-threaded Professional Services strategies within strategic and enterprise accounts; orchestrate 2–12 week services deal cycles with executive alignment and commercial rigor.
• Consistently meet or exceed services bookings, attach-rate, and consumption targets while driving predictable pipeline generation and velocity metrics.
• Lead discovery to map business-critical pains (noise, toil, on-call fatigue, change risk, slow comms) to differentiated service offerings, scoped SOWs, and multi-phase engagement roadmaps.
• Deliver compelling value narratives (ROI, time-to-value, risk mitigation, competitive differentiation) tailored to C-level and VP stakeholders across IT, Engineering, and Operations.

Account Strategy & Customer Value

• Co-architect account strategies with Account Executives, CSMs, and Solutions Engineers to align enterprise business outcomes with services-led transformation milestones and measurable impact.
• Position services as strategic enablers across incident response maturity, AIOps signal tuning/event orchestration, automation/runbooks, AI-driven operations, and enterprise integrations (e.g., ServiceNow, Jira, Slack/Teams, AWS, Datadog, New Relic, Splunk, GitHub/GitLab, Terraform).
• Drive adoption and quantifiable business impact (e.g., MTTA/MTTR reduction, toil elimination, developer productivity gains, SLO adherence, operational cost savings) that influence customer renewal and expansion decisions.

Scoping, Pricing & Delivery Orchestration

• Partner with Delivery leadership to architect, price, and resource engagements that balance customer transformation objectives with margin targets and scalable delivery models.
• Ensure seamless handoffs while maintaining commercial ownership; proactively identify and remove blockers, de-risk delivery, and surface follow-on services and expansion opportunities.
• Align SOWs to clear scope, success criteria, measurable acceptance metrics, timeline realism, and strategic value realization frameworks.

Forecasting & Operational Rigor

• Maintain accurate opportunity data, multi-quarter close plans, and forecasts in CRM using structured sales methodologies (e.g., MEDDPICC) and pipeline hygiene discipline.
• Monitor engagement health, entitlement consumption, and customer sentiment to drive timely services utilization, renewal readiness, and proactive expansion motions.
• Provide strategic feedback to Product and Delivery teams to refine packaging, pricing, repeatable delivery frameworks, accelerators, and go-to-market positioning.

Stakeholder Collaboration & Cross-Functional Partnership

• Partner with Sales, Customer Success, Solutions Engineering, Product, and Marketing to sequence services with platform adoption, expansion plays, and customer lifecycle milestones.
• Collaborate on case studies, executive references, and customer success stories that showcase realized outcomes, competitive wins, and services-led differentiation.
• Engage executives across customer and internal teams to build trusted-advisor credibility, influence strategic decisions, and accelerate deal velocity.

Executive Engagement & Thought Leadership

• Facilitate executive workshops, maturity assessments, and strategic roadmap sessions that translate business strategy into actionable, services-led transformation workstreams.
• Educate customers on service ownership best practices, incident lifecycle excellence, AIOps/automation value realization, and operational resilience frameworks.
• Serve as a strategic advisor on digital operations transformation, helping customers navigate organizational change, toolchain consolidation, and platform modernization.

Qualifications

Requirement Qualifications & Skills

• 8+ years in Professional Services sales, solutions consulting, or services leadership within SaaS or enterprise software; proven track record of strategic impact and organizational influence.
• Demonstrated success defining go-to-market strategies, building service offerings, or leading cross-functional initiatives that drive measurable business outcomes.
• Deep expertise in consultative selling: multi-threaded relationship building (C-level to technical), discovery, business case creation, executive storytelling, and complex deal orchestration.
• Strong strategic and analytical skills: ability to synthesize market insights, customer feedback, and operational data into actionable strategies and frameworks.
• Proven ability to mentor, enable, and scale teams: experience creating playbooks, training programs, or best practices that improve collective performance.
• Executive presence and communication: ability to influence senior leadership, facilitate strategic workshops, and represent the company externally.
• Rigorous operational discipline: expertise in sales methodologies (MEDDICC/MEDDPICC), forecasting, pipeline management, and CRM hygiene.
• Technical fluency: ability to translate incident response, AIOps, automation, observability, and integration concepts into quantified business value and risk reduction.

Preferred Qualifications & Skills

• Experience architecting or launching new service offerings, engagement models, or go-to-market motions in a scaling organization.
• Thought leadership experience: published content, conference speaking, or industry recognition in incident management, SRE/DevOps, AIOps, or operational excellence.
• Deep domain expertise in incident response, observability platforms, on-call operations, AIOps signal correlation/tuning, runbook automation, and service ownership best practices.
• Experience selling to and influencing VP Eng, CTO, CIO, SRE/DevOps, IT Ops, and Platform/Cloud leadership in enterprise and strategic accounts.
• Understanding of operational KPIs (MTTA/MTTR, change failure rate, SLO/SLA, toil reduction, developer productivity) and how to design services that measurably impact them.
• Experience leading or contributing to cross-functional strategic initiatives (e.g., partner ecosystem development, vertical market expansion, delivery transformation).
• Willingness to travel for customer meetings, team events, and industry conferences as needed.
• You know and understand our space and actively shape it—you're not just a fan of our products, you influence how the market thinks about operational excellence.

The base salary range for this position is 156,000 - 184,800 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

This role is expected to come into our San Francisco office twice per week, so you can thrive in your new role and fully embrace being a Dutonian!

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Senior DevOps Engineer

As a Senior DevOps engineer, you will be an early contributor to the growing infrastructure team to support a rapidly expanding fleet of satellites. 

Speed and reliability aren’t luxuries here; they’re lifelines. When a satellite is orbiting thousands of miles above Earth, minutes matter. Our developers need to iterate and deploy rapidly to fix mission-critical issues and push improvements that keep spacecraft healthy and missions on track. You’ll be the one making sure our CI pipelines aren’t just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You’ll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity. 

If you’re excited by the idea of supporting spacecraft with infrastructure that’s as mission-critical as the satellites themselves, this is your launchpad.

This role supports both commercial and U.S. Government programs.

Role

• Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware
• Introduce and optimize build tools and workflows to accelerate development
• Automate release, deployment, and monitoring tooling for development and production systems
• Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts
• Lead initiatives that improve developer productivity and developer experience

Requirements

• 6+ years experience in Infrastructure and DevOps engineering
• Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology)
• Proficiency with Python or other scripting language
• Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants
• Strong Experience with Linux
• Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others
• Strong written and oral communication skills
• Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus

• Bazel build system
• Code coverage reporting
• AI tooling for developers
• Remote development environments
• Flaky test management and infrastructure

Software Engineer - Infrastructure

As a Software Engineer on the Infrastructure team, you will be an early contributor to the growing team to support a rapidly expanding fleet of satellites.

Speed and reliability aren’t luxuries here; they’re lifelines. When a satellite is orbiting thousands of miles above Earth, minutes matter. Our developers need to iterate and deploy rapidly to fix mission-critical issues and push improvements that keep spacecraft healthy and missions on track. You’ll be the one making sure our CI pipelines aren’t just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You’ll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity. 

If you’re excited by the idea of supporting spacecraft with infrastructure that’s as mission-critical as the satellites themselves, this is your launchpad.

This role supports both commercial and U.S. Government programs.

Role

• Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware
• Introduce and optimize build tools and workflows to accelerate development
• Automate release, deployment, and monitoring tooling for development and production systems
• Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts
• Lead initiatives that improve developer productivity and developer experience

Requirements

• 2+ years experience in Infrastructure and DevOps engineering
• Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology)
• Proficiency with Python or other scripting language
• Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants
• Strong Experience with Linux
• Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others
• Strong written and oral communication skills
• Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus

• Bazel build system
• Code coverage reporting
• AI tooling for developers
• Remote development environments
• Flaky test management and infrastructure

DevOps Engineer

As a DevOps engineer, you will be an early contributor to the growing infrastructure team to support a rapidly expanding fleet of satellites.

Speed and reliability aren’t luxuries here; they’re lifelines. When a satellite is orbiting thousands of miles above Earth, minutes matter. Our developers need to iterate and deploy rapidly to fix mission-critical issues and push improvements that keep spacecraft healthy and missions on track. You’ll be the one making sure our CI pipelines aren’t just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You’ll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity. 

If you’re excited by the idea of supporting spacecraft with infrastructure that’s as mission-critical as the satellites themselves, this is your launchpad.

This role supports both commercial and U.S. Government programs.

Role

• Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware
• Introduce and optimize build tools and workflows to accelerate development
• Automate release, deployment, and monitoring tooling for development and production systems
• Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts
• Lead initiatives that improve developer productivity and developer experience

Requirements

• 2+ years experience in Infrastructure and DevOps engineering
• Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology)
• Proficiency with Python or other scripting language
• Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants
• Strong Experience with Linux
• Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others
• Strong written and oral communication skills
• Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus

• Bazel build system
• Code coverage reporting
• AI tooling for developers
• Remote development environments
• Flaky test management and infrastructure

Senior Software Engineer - Infrastructure

As a Senior Software Engineer on the Infrastructure team, you will be an early contributor to the growing team to support a rapidly expanding fleet of satellites. 

Speed and reliability aren’t luxuries here; they’re lifelines. When a satellite is orbiting thousands of miles above Earth, minutes matter. Our developers need to iterate and deploy rapidly to fix mission-critical issues and push improvements that keep spacecraft healthy and missions on track. You’ll be the one making sure our CI pipelines aren’t just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You’ll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity. 

If you’re excited by the idea of supporting spacecraft with infrastructure that’s as mission-critical as the satellites themselves, this is your launchpad.

This role supports both commercial and U.S. Government programs.

Role

• Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware
• Introduce and optimize build tools and workflows to accelerate development
• Automate release, deployment, and monitoring tooling for development and production systems
• Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts
• Lead initiatives that improve developer productivity and developer experience

Requirements

• 6+ years experience in Infrastructure and DevOps engineering
• Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology)
• Proficiency with Python or other scripting language
• Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants
• Strong Experience with Linux
• Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others
• Strong written and oral communication skills
• Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus

• Bazel build system
• Code coverage reporting
• AI tooling for developers
• Remote development environments
• Flaky test management and infrastructure

About Foresite Labs

Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston. 

What You’ll Do

• Build from scratch. Design, implement, and own production‑grade software systems, services, data pipelines, internal tools, often starting from scratch and evolving them through MVP, scale‑up, and sustained operation.
• Ship features end-to-end. Work across the stack, with meaningful ownership of frontend applications built in React and Tailwind CSS as well as backend services and APIs, to deliver product value quickly and iterate with feedback.
• Create polished user experiences. Translate ambiguous user and business needs into intuitive, performant interfaces that make complex scientific and operational workflows easier to use.
• Use modern AI-native development workflows and agentic coding tools, such as Claude Code or Codex, to accelerate prototyping, implementation, refactoring, and debugging
• Uphold high engineering standards. Lead code and design reviews, establish testing and monitoring best practices, and collaborate with and mentor peers in clean, maintainable software.
• Collaborate broadly. Pair with machine learning engineers and scientists, computational biologists, and portfolio company founders to translate scientific or business goals into robust technical solutions.

What You’ll Bring

• 5+ years of professional software engineering experience, including shipping greenfield systems you personally bootstrapped and supported in production.
• Fluency in TypeScript and at least one modern backend language (Python, Go, Java, etc.), with strong experience building production full-stack applications.
• Working knowledge of AWS (or GCP/Azure) core services and patterns—VPC, IAM, ECS/EKS/Lambda, RDS, S3—and experience expressing infrastructure as code with Terraform, CDK, or Pulumi a plus.
• Comfort navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions, GitLab, or similar).
• Hands-on experience with LLM systems and agentic application frameworks, including familiarity with tools such as LangChain and Pydantic AI, and an understanding of how to build production-oriented workflows involving tool use, structured data, multi-step reasoning, iterative loops, testing, and orchestration.
• Mindset for early‑stage execution: bias for action, ownership of ambiguous problem spaces, and ability to wear multiple hats without extensive support structures.
• Excellent written and verbal communication skills; you explain complex ideas clearly to technical and non‑technical partners.

Why Foresite Labs

• Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
• Autonomy. Small, senior teams give you room to architect and own end‑to‑end solutions without heavy bureaucracy.
• Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
• Flexibility & Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.
• Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.

Location: San Francisco, CA

Salary range: $185,000 - $221,400

Foresite Labs is an equal opportunity employer. We thrive on diversity and collaboration.

SoFi is seeking an experienced and motivated Senior Staff Data Engineer to be the technical leader of our Data Engineering group within the SoFi Data Platform(SDP) division. The mission of the SDP division is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our members. 

The Role:

In this role, you will have the opportunity to directly impact, influence and lead the direction and architecture of our next gen AI powered SoFi Data Platform(SDP), and elevate data reliability through AI enabled workflows, tooling and practices. You will get the chance to lead, define, and take on complex and interesting problems as part of a fast-paced, highly collaborative organization. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery. 

What You’ll Do: 

• Technical Leadership & Strategy: As a technical leader, you will be at the heart of SoFi’s data platform providing primary technical authority and strategic guidance to the data engineering group. 
• Architectural Excellence: Lead the architecture and delivery of large-scale, high-performance data pipelines and processing frameworks. Design scalable data models that support analytics, AI/ML and real-time data needs.
• Platform Innovation: Drive the adoption of cloud-native technologies, automation frameworks and reusable components that improve development velocity and system reliability across SDP.
• System Optimization: Drive org-wide initiatives to improve data reliability, cost-efficiency, and latency. Design solutions that scale horizontally and vertically to handle ever-growing datasets.
• Cross-Functional Collaboration: Partner with business stakeholders, product and engineering leads to align the data roadmap with SoFi’s business objectives. 
• Governance & Security: Lead the implementation of sophisticated data privacy, security, and compliance frameworks. Enforce data governance policies and practices to maintain data integrity in a highly regulated environment.
• Mentorship: Provide deep technical coaching and mentorship to Staff and Senior data engineers, fostering a culture of continuous learning, rigorous testing, and engineering excellence.
• Workforce Development: Contribute to hiring and training efforts to build a skilled and motivated data engineering workforce. Lead the interview process for senior-level talent and design onboarding programs that accelerate engineering productivity.
• On-Call Support: Be part of an on-call support rotation to support the critical production systems.

What You'll Need: 

• Education: A bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: Over 12 years of experience in data engineering and analytics, with at least 4 years in a staff-level or higher capacity. A proven track record of successfully leading enterprise-wide data modernization efforts.
• Tech Stack Mastery: Mastery of the modern data stack: Snowflake / Python / SQL / GitLab / AWS / Airflow/ AI tools like Claude code/Cursor. Understanding and implementation experience of AI agents is a plus.
• Cloud Architecture: Expert-level proficiency in relational and cloud database platforms (Snowflake, Redshift, or GCP) and distributed processing frameworks (Hadoop, Spark, or Kafka).
• Strategic Thinking: Thorough knowledge and passion for data modeling (Kimball/Data Vault), database design, and data architecture principles. Ability to simplify complex, ambiguous issues into actionable technical plans.
• Communication: Exceptional ability to communicate complex technical concepts and trade-offs to non-technical stakeholders and senior management.

Domain Knowledge: Deep experience in a highly regulated and governed sector; experience in the Fintech industry is highly advantageous.

Internships at Planet:

Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. 

Program Dates:

• June 1 - August 21
• June 22 - September 11

About the Role:

The Mission Optimization team supports all Planet’s missions, working to maximize the productivity of the world's largest Earth Observation satellite constellation. Our team spans North America and Europe. Given the scale of our fleet, automation is at the heart of our operations. You'll develop and maintain critical software that is used to manage and operate our fleet, transforming large datasets into actionable metrics.

As a Mission Optimization Engineer Intern, the main scope of your project will be fleet-wide productivity optimization. You will help identify possible inefficiencies in the automated services we use to operate our satellites, and design and implement solutions to improve the overall productivity of the fleet. We are looking for a data-driven, self-starter engineer with effective communication skills that collaborates well within a technical team and adapts quickly to changing tasks and contexts. You will also work closely with hardware and software experts across teams to provide operational insights that shape our next-generation satellites.

This is a full-time, in-office position based in our San Francisco office  5 days per week.

Impact You'll Own:

• Develop and maintain real-time, mission-critical software solutions for satellite operations
• Write scripts to aggregate satellite data and generate system monitoring metrics
• Analyze data to identify issues and inefficiencies in the full stack of services and propose solutions to improve productivity
• Identify and drive improvements to fleet capacity and productivity through process enhancements

What You Bring:

• Currently enrolled in a BSc in engineering or computer science
• Proficiency in software development, particularly in Python or equivalent languages
• Data-driven mindset with experience in statistical analysis
• Proactive, self-starter approach to engineering and problem-solving
• Effective interpersonal and collaboration skills within a technical team

What Makes You Stand Out: 

• Experience with agile software development
• Experience with DevOps tools and practices (e.g., Git, GitLab, Docker, Jenkins, Bash, Linux, CI/CD, Sentry, Datadog)
• Familiarity with satellite engineering and/or the space environment and its challenges
• Hands-on experience operating spacecraft or remote systems
• Familiarity with automation and optimization frameworks
• Contributions to open-source software projects

Application Deadline:

April 13, 2026 at 11:59p PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Commuter Benefits
• Paid time off for holidays and company-wide days off
• Internet reimbursement
• Access to LinkedIn Learning

Compensation:

The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

About the team

The SRE team was recently formed with the goals of establishing first-class observability tools and primary owners of all things production.

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with R&D to improve and optimize availability.

• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring
• Conduct periodic on-call duties and emergency response

What You'll Bring

• At least 3+ years of experience as an SRE, Infra Backend in a SaaS environment.
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Configuration management, such as Ansible/Chef/Puppet/ArgoCD
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab/Phabricator/gerrit
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Participated in Kubernetes migration projects
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

About the team

The SRE Incident Response team is responsible for handling critical application\infrastructure alerts, orchestrating the war room process and enabling first class observability and alerting systems. 

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

On-call coverage is 7 days a week, starting at noon, with the shift ending at 6:00pm. 

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with engineering and DevOps to improve and optimize availability.

• Manage and participate in incident war rooms, escalating and coordinating response for critical workflow alerts.
• Perform deep-dive troubleshooting for application, transaction, and general technical issues.
• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring

What You'll Bring

• At least 3+ years of experience as an SRE incident response engineer
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

RDQ427R130

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

More about the team: 

A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.

We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.

You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

Job Title: Software Engineer II

Location:  425 Market Street, Suite 2400, San Francisco, CA 94105

*Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in San Francisco, CA.

Job Duties: Design, develop, and maintain backend services and system components using object oriented languages such as Java, Scala, or Python, following internal coding standards and design guidelines. Design and implement data processing workflows using Apache Spark or other large-scale distributed data processing frameworks to support business analytics and product requirements. Develop high-performance and scalable data access layers, including implementing algorithms for efficient querying, caching strategies, and low-latency data retrieval. Implement and maintain cloud-native services deployed on container orchestration platforms (e.g. Kubernetes, ECS) and integrate with cloud infrastructure components (e.g. IAM policies, load balancers, service meshes). Design and validate API contracts, service interfaces, and cross-service communication patterns, including REST, RPC, or asynchronous messaging. Create and maintain CI/CD pipelines (e.g. Gitlab CI), including automated build processes, test execution, and controlled deployment workflows to ensure reliable software delivery. Instrument applications for observability by implementing metrics, structured logs, or distributed tracing to improve system transparency and operational insight. Investigate and resolve software defects or performance issues by analyzing logs, system metrics, and profiling results, collaborating with relevant teams as needed. Collaborate with product and engineering teams to convert business and functional requirements into technical specifications and system designs with clear performance and reliability goals.

Salary: $151,400 - $227,000/year

Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering or related field. Position requires working knowledge of the following skills gained through coursework or experience: at least one programming language, including Java, Scala, or Python; container orchestration platforms, including Kubernetes, and containerization technologies, including Docker; designing and validating API contracts and service interfaces, including REST, RPC, or asynchronous messaging patterns; implementing CI/CD workflows, including Gitlab CI, and automate builds, testing and controlled deployments; observability practices, including metrics, structured logging, or distributed tracing instrumentation; and diagnosing and debugging software issues using logs, system metrics, or profiling tools.

#DNI

#LI-DNS

The work:

In this role, As a Software Engineer II, Data & AI you will be one of the core engineers within Ripple’s central Data Engineering. This team implements the data ingestion and transformation for analytics, machine learning and powering various business functions at Ripple. You are curious about the bottlenecks and failure modes of a system and look for opportunities to continually improve cost/performance characteristics. You are hands-on in driving key technical decisions, ensuring the right tradeoffs are made to deliver high-quality results and deliver high, measurable customer value. You work well across functions and teams, including data science, product, application engineering, compliance, finance and others. Your passion for good engineering is complemented by strong instincts to deliver value.

What you’ll do:

• Highly efficient in shipping solutions to both large and small projects.
• Can handle ambiguity in requirements and can define and propose solutions for them.
• Writes, presents, and gets agreement on the design document for a project highlighting the architecture, timelines and alternatives considered.
• Owns the development and rollout for a small to mid-sized projects.
• Writes clean tech specs and identifies risks before starting major projects.
• Recognizes trade-offs and identifies impact/risks between alternative solutions.
• Improves code structure and architecture in data pipelines of testability and maintainability.
• Plays an active role in breaking down initiatives that span multiple sprints and tasks.
• Leads feature development with 1-2 collaborators.
• Collaborate to create AI agents and conversational tools that let business users get insights from data without needing technical skills.

What you'll bring:

• Proficient( 3 - 6yrs) in at least one primary programming language (e.g. Python, Scala) and comfortable working with SQL
• Experienced in at least one Data Warehouse or data lake platforms such as Databricks
• Ability to write sophisticated code and comfortable with picking up new technologies independently.
• Some hands-on experience using AI or machine learning in data-related projects, such as helping with data pipelines, data quality checks, or simple AI-powered tools.
• Exposure to tools that use large language models, such as coding assistants, chat-based data tools, search tools that answer questions from documents, or basic workflow automation with AI.
• Familiar with developing distributed systems with experience in scalable data pipelines
• Experience with RESTful APIs and server-side APIs integration
• Highly or conceptually familiar with AWS cloud resources (S3, Lambda, API Gateway, Kinesis, Athena, etc.,)
• Experience in orchestrating CI/CD pipelines using GitLab and Terraform.
• Excel at taking vague requirements and crystallizing them into scalable data solutions
• Excited about operating independently, demonstrating perfection, and learning new technologies and framework

Building the Quality Infrastructure for Integrated Hardware and Software at Scale

Rockbot is an omnichannel media platform powering in-venue experiences across music, TV, digital signage, and advertising - spanning nearly every industry from independent restaurants to large national brands. Our integrated products connect physical hardware (sensors, streaming media devices, A/V systems) to cloud-based analytics and services, which means quality cannot be an afterthought.

As we scale our platform and customer base, the bar for product reliability and performance must rise with it. We are investing in a more rigorous, data-driven approach to quality - one that treats QA as an engineering discipline, not a final checkpoint.

We are hiring a Director, Quality Assurance to lead our global quality strategy and build the systems, processes, and culture required to validate complex integrated products at scale.

This is a pivotal builder role. The ideal candidate has moved beyond simple pass/fail testing and brings both firmware/hardware validation expertise and modern software automation leadership — someone who views QA as a strategic function and a competitive advantage.

What You'll Do

Define the QA Vision

You believe quality must be designed in — not bolted on.

• Define and execute a comprehensive QA vision that encompasses hardware reliability, embedded systems, and cloud applications
• Set the standard for what "high quality" means across Rockbot's integrated product suite — from edge devices to cloud analytics
• Drive a "Shift Left" philosophy, integrating quality practices into the earliest stages of design and development

Automate at Scale

You build frameworks that outlast individual engineers.

• Transition legacy manual processes into a robust, scalable automation framework
• Own the selection and evolution of automation tooling — including frameworks such as Playwright, PyTest, Selenium, and Appium
• Ensure test coverage spans both hardware compatibility and software logic, operating reliably in CI/CD pipelines
• Leverage cutting-edge AI methodologies to accelerate test automation efforts

Integrate Quality into Engineering Rhythms

You operate inside engineering, not downstream of it.

• Direct the integration of automated hardware and software tests into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
• Ensure every commit is verified for both software logic and hardware compatibility — including automated deployment to edge devices
• Partner with Hardware Engineering, DevOps, and Product Management to align quality goals with manufacturing timelines and software sprints

Drive Metrics and Accountability

You measure what matters and make quality visible.

• Establish KPIs across bug leakage, MTBF (Mean Time Between Failures), and test coverage
• Provide transparent, actionable reporting to executive leadership — translating technical risk into business impact
• Build disciplined reporting cadences and raise the bar on operational rigor across the QA function

Who You Are

• Experience: 10+ years in QA/Validation roles, with at least 5 years in a senior leadership position (Director or Head of QA)
• Hardware Proficiency: Proven track record testing physical products, including familiarity with streaming media and A/V systems
• Software Expertise: Deep understanding of modern automation frameworks (Playwright, PyTest, Selenium, Appium) and languages (Python, C++, or Java)

About Rockbot

Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable.

From independent local businesses to large national brands — across nearly every industry, including restaurants, bars, retailers, and more — Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information visit www.rockbot.com.

Compensation

Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

The base compensation band for this role is 190-220K, as well as equity, and benefits for all team members.

Our Values

• Drive: We pursue our mission with relentless tenacity, passion, and optimism and inspire those around us to do the same. We love the journey and are on offense all the time. Yesterday was good enough for yesterday, but today we have to do even better.
• Accountability: We take ownership of our promises, responsibilities, behaviors, and products, and we expect the same of others. Standing behind our mistakes, communicating honestly, and making things right creates trust and strong relationships.
• Curiosity: We are hungry to learn and continually deepen our knowledge, skills, and understandings. We have a growth mindset and are intellectually curious. We challenge our beliefs and seek feedback and insights from others. The "Why" and "How" always matters.
• Empathy: We embrace that no two people or businesses are the same. We strive to understand others as deeply as possible and feel their pains and passions.
• Ingenuity: We work hard but we think smart. We bring creativity, technology, and practicality together to solve tough challenges.
• Integrity: We say what we mean, and do what we say, simply, clearly, honestly.

Rockbot is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team — which includes individuals with different backgrounds, abilities, identities and experiences.

About Fellow

At Fellow, we’re on a mission to help people brew ridiculously good coffee at home. But we’re more than just beautifully designed kettles and grinders—we’re a brand built on innovation, community, and culture. We believe great coffee isn’t just about the final cup; it’s about the experience, the ritual, and the people who make it all happen.

We’re looking for an Automation Engineer (CI/CD, Firmware, Mobile, Backend) to support hardware product development and testing. 

This role is based in our office in San Francisco, CA and is required to be in-office 4 days per week. 

Who You Are

We are seeking a highly skilled Automation Engineer to design, build, and maintain end-to-end CI/CD pipelines that automate testing, deployment, and release workflows across software, firmware, mobile applications, and AWS-based backend services. This role requires deep experience in test automation, hardware-integrated testing, and the ability to work with system logs and external measurement devices. You will also play a key role in enabling intelligent debugging by integrating test outputs with AI-based analysis tools.

What You’ll Do

CI/CD & Automation Frameworks

• Design and implement scalable CI/CD pipelines to automate build, test, deployment, and release processes for:
• Embedded firmware
• Mobile applications
• Cloud-based backend services (AWS)
• Maintain and optimize automation frameworks to support continuous integration and delivery across multiple platforms.
• Firmware Automation
• Implement automated workflows to:
• Enforce coding style and static analysis checks
• Execute unit tests
• Compile firmware codebases from GitHub
• Flash firmware onto physical devices
• Run automated functional and integration test cases
• Collect, normalize, and forward device logs and test results to AI agents for debugging and root-cause analysis

Mobile Application Automation

• Build automated pipelines to:
• Perform coding style and lint checks
• Run unit tests
• Deploy builds from GitHub to test environments
• Install applications on physical test phones
• Execute automated UI and functional test cases
• Aggregate logs and test artifacts and pass them to AI agents for debugging

Backend Automation (AWS)

• Develop automation to:
• Enforce coding standards and static analysis
• Run unit and integration tests
• Deploy services from GitHub to test environments
• Execute automated backend test suites
• Capture logs, metrics, and traces and forward them to AI agents for intelligent analysis

Hardware & Data Integration

• Design and maintain automated tests that integrate:
• Hardware device logs
• Data from external measurement devices such as sensors, scales, or other instrumentation
• Ensure reliable data capture, synchronization, and validation across hardware and software systems.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent practical experience)
• 7+ years of experience in test automation, CI/CD, or automation engineering roles
• Proficiency in automation scripting (Python or similar)
• Hands-on experience with hardware-integrated automation testing
• Strong experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI)
• Strong debugging and problem-solving skills in complex, multi-system environments
• Proven experience with hardware automation, including tests that integrate machine logs and data from external measurement devices such as sensors and scales
• Familiarity with Git-based workflows and version control best practices
• Ability to design robust, repeatable, and scalable test automation systems
• Expertise in log collection, processing, and analysis

Preferred Skills & Experience

• Demonstrated experience working across firmware, mobile, and backend systems
• Familiarity with embedded systems, RTOS, or low-level firmware development
• Experience with mobile automation frameworks (e.g., Appium, XCTest, Espresso)
• Experience with cloud-native testing, observability, and monitoring tools
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience working in IoT, consumer electronics, or hardware-software integrated products
• Experience integrating automation outputs with AI or ML-based debugging/analysis tools
• Experience with firmware build systems, flashing tools, and device communication
• Hands-on experience automating mobile application testing on real devices
• Strong understanding of AWS-based backend services and deployment workflows
• Experience with test frameworks for unit, integration, and system testing

Salary Range: $165,000- $185,000

Our highest goal at Fellow is creating a safe, inclusive, and rewarding environment where everyone can bring their whole selves to work and thrive. We are committed to building diverse teams and strongly encourage people from underrepresented groups, including but not limited to women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. 

Fellow is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity, gender expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

About the Role

Qualifications

This is roughly the set of things we’re looking for - if you’re interested in this role and don’t meet some of these on paper, err on the side of applying!

• 3+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting)
• 1+ years of experience working with, at, or selling to AI companies - you understand how AI-first companies operate, their unique challenges, and the market landscape
• Proven ability to own and drive customer-facing engagements and relationships independently
• Strong technical aptitude with the ability to quickly learn new systems, write code snippets, and guide technical implementations
• Experience working in high-velocity environments where speed-to-value matters and customers need to launch quickly
• Excellent communication skills with technical buyers (engineers, product managers, technical founders)

About the Role

Qualifications

• 5+ years of experience working in technical and/or customer-facing roles involving SaaS products (for example, roles like solution engineering, solutions architecture, technical account management).
• Experience running complex sales cycles with enterprise tech companies.
• Experience in fast-moving startup environments that value high agency.
• Ability to quickly learn and communicate technical concepts to technical, go-to-market, and finance stakeholders.
• Excitement for building and improving GTM playbooks and processes.

We care more about demonstrated impact and learning velocity than checking every box.

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in NYC and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

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

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in Washington, D.C. and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

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

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in San Francisco and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

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

Position Summary

As a Software Engineer, Dev Productivity, you’ll work at the intersection of software development, automation, and infrastructure. Your mission is to streamline engineering workflows, optimize CI/CD systems, build and testing infrastructure, and enhance developer tooling to accelerate software delivery.

Key Responsibilities

• Design, build, and maintain high-performance CI/CD pipelines to improve development speed and reliability.
• Develop internal tools and automation to reduce friction in engineering workflows.
• Optimize build and test infrastructure for faster feedback loops.
• Work closely with engineering teams to identify and eliminate inefficiencies in the development process.
• Enhance and monitor developer environments to improve developer experience
• Advocate for best practices in software development, version control, and release management.
• Drive the adoption of automation and tooling that increase engineering efficiency.

Key Qualifications

• Strong experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, Buildkite, or CircleCI.
• Experience with build systems (e.g., Bazel, CMake, Make, Gradle).
• Experience with python dependency management (e.g. poetry, uv)
• Knowledge of containerization and Kubernetes for scalable builds and testing.
• Strong problem-solving skills and a passion for improving developer experience.
• Proficiency in scripting and automation with Python, Bash, or Go.
• Excellent communication skills and ability to work across teams.

Preferred Qualifications

• Experience with docker image build optimization
• Experience with bazel
• Experience with GPUs

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

Salary Range
$180,000 – 240,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About The Role

As the Senior Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders.

This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization.

What You Might Do

• Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features.
• Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions.
• Lead continuous improvement efforts for our build, release, and test systems, ensuring a robust and efficient CI/CD pipeline.
• Explore and implement AI tools, such as the OpenAI API, to create both deterministic and non-deterministic testing approaches that uncover hard-to-find bugs.
• Design and build reusable automated tests and tools that establish a high standard for the team, empowering other engineers to adopt and contribute to best practices.
• Partner with System Software, Automation, and Test teams to ensure testing strategies are integrated and aligned across the organization.
• Use your deep understanding of system logs and backend processes to diagnose and resolve complex issues that arise during testing.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 6+ years of experience in automation engineering.
• Hands-on experience working with Linux and Windows.
• Strong proficiency in developing tools for test automation.
• Deep understanding of observability and telemetry.
• Good understanding of complete software development life cycle.
• Proficiency in Python or other object-oriented programming languages.

Preferred Skills

• You have a deep understanding of the entire development ecosystem and can design and implement scalable build, release, and test systems.
• Expertise with CI/CD pipelines is critical, with hands-on experience in platforms like Jenkins, GitHub Actions, or GitLab CI.
• You are proficient with test automation frameworks such as Pytest, and can lead the adoption of these tools to ensure product quality.
• You are experienced with observability and monitoring tools, including Splunk, to provide deep insights into system behavior and performance.
• Experience with consumer electronics a plus
• Familiarity with ML Usage. Some familiarity with how to leverage machine learning models in a product environment is a plus.
• Strong Interpersonal and Leadership Skills. You possess excellent communication skills and a proven ability to manage cross-functional relationships, driving alignment and collaboration with system software, automation, and test teams.

Salary: $140,000- $225,000