{"id":126588,"url":"https://alion.io/job/planet-senior-site-reliability-engineer","title":"Senior Site Reliability Engineer","company":{"id":626,"name":"Planet","domain":"planet.com","url":"https://alion.io/company/planet","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":25,"ghost_share":0,"stale_share":0.56,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Canada"],"countries":["CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":{"min":153000,"max":191300,"currency":"USD","period":"year","gross":null,"usd_annual":191300},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"CircleCI","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"GDPR","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"K3s","optional":false},{"name":"Kubernetes","optional":false},{"name":"Kustomize","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Proxmox VE","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Zero Trust","optional":false}],"status":"live","first_seen_at":"2026-08-26T16:09:05Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-17T15:38:35Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Welcome to Planet. We believe in using space to help life on Earth.\nPlanet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.\nCustomers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.\nAs we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.\nWe have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.\nPlanet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.\nAbout the Role:\nPlanet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company rolled into one.\nIn this role, you will join Planet's Direct Access Service Infrastructure team, directly contributing to our next-generation Constellation as a Service platform. This platform represents a major new offering to our customers that goes beyond traditional cloud-based platforms and supports on-premises deployments. \nYou will be responsible for building, deploying, and operating critical compute software that supports end-to-end imaging operations within customer on-premises and/or cloud environments. You will use your understanding of internal compute requirements as well as customers' environmental-specific constraints to help design, implement, and support a robust system for reproducible deployments across operating environments, to guarantee the reliability, scalability, and availability of our services. To do this, you will partner closely with cross-functional engineering teams to enable and empower the integration of software solutions and the troubleshooting of distributed systems.\nThis is a full-time, remote position based in the United States or Canada. If located near an office, you are expected to work from that office 3 days per week.\nImpact You'll Own:\nBuild and deploy computing services and infrastructure in customer environments for a next-generation satellite operations and image processing end-to-end platform\nOperate in a high-impact, tight knit team to architect novel systems for air-gapped deployments at scale\nClarify and surface requirements from ambiguous use cases defined by cross-functional stakeholders, including internal users and external customers\nResponsible for operations such as deployments, service orchestration, and documentation for cross platform stakeholders\nScale architecture while ensuring availability of services\nImprove reliability and scalability by resolving edge cases, studying failure modes, and writing tests\nParticipate in on-call rotations to ensure operational excellence \nWhat You Bring:\n6+ years of experience building services that leverage cloud-native infrastructure and tooling\nBachelor’s degree in Computer Science or similar\nExperience deploying and maintaining bare-metal and cloud kubernetes through tools such as Talos, RKE2, Proxmox, or k3s\nProficiency with Terraform, Ansible, Helm, Kustomize, and/or similar IaC / GitOps tooling\nExperience with CI/CD tooling, such as Jenkins, GitLab CI/CD, Argo CD, or CircleCI\nExperience successfully building, releasing, and supporting highly available, consistently performant services\nKnowledge of hardware and network level implications of on-prem compute\nExperience with platform optimization, particularly resource optimization, management, and cluster tuning in a constrained environment\nAbility to observe and troubleshoot distributed systems with tools such as Alloy, Prometheus, Grafana, and OpenTelemetry\nAdvanced skills in Python, Bash, and other tooling as appropriate to build services and meet product goals\nExcellent communication skills and the ability to work through collaboration with cross-functional engineering teams\nExperience working with Jira for task management and progress tracking\nWhat Makes You Stand Out:\nExperience with CUDA-based GPU programs\nSecurity expertise in sensitive environments, including implementing zero-trust architectures, hardening Kubernetes clusters, conducting security audits, and deploying workloads in air-gapped environments\nApplication Deadline:\n11:45pm PT on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to.\nEAR/ITAR Requirements:\nThis 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.\nBenefits While Working at Planet:\nThese offerings are dependent on employment type and geographical location, based upon applicable law or company policy.\nComprehensive Medical, Dental, and Vision plans\nHealth Savings Account (HSA) with a company contribution\nGenerous Paid Time Off in addition to holidays and company-wide days off \n16 Weeks of Paid Parental Leave\nWellness Program and Employee Assistance Program (EAP)\nHome Office Reimbursement\nMonthly Phone and Internet Reimbursement\nTuition Reimbursement and access to LinkedIn Learning\nEquity\nCommuter Benefits (if local to an office)\nVolunteering Paid Time Off\nCompensation:\nThe US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). 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.\n#LI-REMOTE\nNew York City + California Salary Range\n$153,000—$191,300 USD\nSan Francisco Salary Range\n$162,600—$203,200 USD\nUS National Salary Range\n$142,800—$178,500 USD\nCanada Salary Range\n$116,700—$145,900 CAD\nSan Francisco Fair Chance Ordinance\n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nWhy we care so much about Belonging. \n We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. \nEEO statement:\n Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.\nAccommodations: \n Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to  or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.\nPrivacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.\nPrivacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.\nAI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.\nCandidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact  with your request for assistance. Your message will be confidential, and we will be happy to assist you. 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