{"id":176450,"url":"https://alion.io/job/gridmatic-software-engineer-grid-scale-batteries","title":"Software Engineer, Grid-Scale Batteries","company":{"id":63435,"name":"Gridmatic","domain":"gridmatic.com","url":"https://alion.io/company/gridmatic","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":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":87,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cupertino, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Flyte","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"GCP","optional":true},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-06-18T22:53:48Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-17T15:34:47Z","board_verified":true,"closed_at":null,"days_open":120,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":120},"description":"The Role\nWe're looking for a Software Engineer to join the team building the core of Gridmatic's battery optimization platform. Our challenges are shaped by the nature of energy markets: optimization models run on tight schedules, bids must be submitted reliably within tight market clearing windows, and data pipelines need to ingest and process market signals continuously. You'll partner with our ML, optimization, and data science teams to bring research into production, and work alongside the Platform Infrastructure team on the compute and orchestration layers that underpin it all.\nWhat You'll Do\nBuild and maintain data pipelines that ingest real-time market and telemetry data and pass these to our forecasting and optimization models\nOwn production systems using workflow orchestration for battery dispatch and market bidding, where reliability has direct revenue consequences\nPartner with ML and optimization researchers to evaluate and productionize bidding strategies e.g. by adding or improving workflow orchestration\nCollaborate with the our data and optimization teams to build reliable data calculations and visualization for settlement calculations, trading operations, and bid strategy evaluation\nContribute to tooling, observability, and patterns that help the team ship and operate software reliably\nMake architectural decisions as we scale the platform alongside our asset portfolio\nJoin on call rotation to maintain systems you build\nWhat We're Looking For\n4+ years of experience building and operating production software systems\nStrong proficiency in Python, including production-grade code beyond notebooks and scripts\nExperience with Go, or a background in a similar typed language (Java, Rust, C++)\nSolid experience building and operating data pipelines-streaming or batch, at meaningful scale\nHands-on experience with workflow orchestration tools such as Airflow, Flyte, or Temporal\nEnthusiasm to learn about and work on details of the application, in this case electricity markets and grid-scale batteries\nSystems thinking-understanding how components interact, where failures cascade, and how to build for reliability and efficiency\nClear communication, whether writing a design doc, reviewing code, or explaining a system to someone unfamiliar with it\nComfort in a fast-moving, small-team environment where ownership is broad\nNice to Have\nInfrastructure-as-code experience with Terraform or similar tools\nHands-on experience with Kubernetes in production (we run on GKE)\nBackground working with ML, optimization, or research teams to bring models into production\nFamiliarity with optimization, forecasting, or simulation workflows\nPrior work in domains where latency and reliability have direct business consequences\nExperience in energy markets, SCADA, or battery management systems\nTaking care of you today:\n- Continuing Education Opportunities\n- Flexible PTO\n- Medical, Dental and Vision plans with competitive employer contributions\n- Pre-Tax commuter benefits\n- $1500/year non profit donation matching program through Millie\n- Home Office Stipend\nProtecting your future for you and your family:\n- 401K contribution match up to 4%\n- Company-paid parental leave\n- Company Paid Life Insurance\n- Stock Option Loan Program\nPay range\n$180,000—$270,000 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