Distributed Systems Engineer - Energy
About the job
- Strong proficiency in C# (.NET Core/8.0) or Golang for backend services, plus Python for automation, tooling, and AI workflows, with familiarity in two or more additional programming languages.
- Deep understanding of distributed systems fundamentals, including event-driven architectures, eventual consistency, fault tolerance, idempotency, distributed transactions, CAP theorem trade-offs, and compensation logic.
- Production experience with Kafka (CDC pipelines, schema registry, and multi-region clusters) or RabbitMQ, including partitioning strategies, delivery guarantees, consumer group management, and backpressure handling.
- Experience designing MySQL/PostgreSQL schemas for complex hierarchies, optimizing queries with indexing, implementing multi-region replication with data sovereignty, and modeling MongoDB/NoSQL data for high-throughput workloads.
- Experience with RESTful API design, gRPC, service mesh patterns, API versioning, backward compatibility, and API gateway patterns with authentication, authorization, and rate limiting.
- Hands-on workflow orchestration experience with BPMN/DMN using Temporal, Camunda, Airflow, or Cadence for long-running processes, stateful polling, event correlation, and compensation patterns.
- Deep Kubernetes knowledge, including Docker containerization, orchestration, infrastructure as code, and deployment strategies such as blue-green, canary, and feature flags with zero-downtime migrations.
- Experience developing CI/CD pipelines and owning operations, including monitoring, alerting, on-call responsibilities, Prometheus/Grafana, distributed tracing (Jaeger/OpenTelemetry), logging, SLIs/SLOs, and incident response.
- Experience building AI agents or integrating intelligent systems using OpenAI, HuggingFace, or LangChain, plus daily use of AI-assisted development tools and emerging AI automation technologies.
- Experience with Redis or other caching technologies for performance optimization and session management.
- Design and implement scalable distributed systems and APIs supporting the Energy customer journey across Residential Energy, Commercial Energy, and Charging products, serving millions of customers globally with 99.99% uptime.
- Architect event-driven microservices using Kafka/RabbitMQ, focusing on fault tolerance, exactly-once delivery, distributed tracing, CDC pipelines, multi-region routing, and schema evolution across more than 100 microservices.
- Own database architecture and optimization across MySQL, PostgreSQL, and MongoDB, managing complex schemas with millions of records, ensuring sub-100ms query latency, multi-region replication, and data sovereignty compliance.
- Build production-grade infrastructure for more than 5 million customers and 50,000+ annual installations, implementing circuit breakers, layered retry logic, graceful degradation, idempotent APIs, and resilience patterns for high-value transactions with tight SLAs.
- Develop AI-powered automation using LLMs and agentic AI to streamline customer workflows, including satellite imagery integration for site assessment, automated design-to-quote pipelines, intelligent BOM optimization, and zero-touch contract generation.
- Architect workflow orchestration systems for long-running distributed processes spanning weeks to months using Temporal or Camunda, BPMN process engines, compensation logic, human-in-the-loop workflows, event correlation, and two-phase operations.
- Design complex business logic engines, including multidimensional pricing with real-time tax calculations and compliance audit trails, multiphase delivery orchestration with material allocation, and contract lifecycle management for 20–30-year service obligations.
- Integrate with third-party systems, including solar manufacturers, utility providers, field operations, and manufacturing, using industry-standard APIs, pull-based patterns, capability-based authentication, and rate-limited API gateways while ensuring data consistency.
- Own CI/CD pipelines, monitoring dashboards, alerting, and on-call rotation using Prometheus, Grafana, distributed tracing, and logging, including feature-flagged deployments, correlation-based tracing, and zero-downtime migrations.
- Lead technical initiatives from inception to production, define architectural patterns, drive API standards and large-scale migrations, mentor engineers on distributed systems best practices, and partner with product, design, field operations, finance, and manufacturing teams.
About the company
Tesla designs and sells electric vehicles and renewable energy products. Its cars (Model S, 3, X, Y, and Roadster) run on battery power, with a semi-autonomous Autopilot driving system and a global network of fast-charging stations called Superchargers. The company also provides solar panels, Solar Roof, and energy storage products (Powerwall, Powerpack, Megapack) to generate and store clean energy for homes and businesses. Tesla operates with a vertically integrated model, manufacturing key components (batteries, drivetrains) and selling directly to customers via its website and stores, while earning revenue from vehicle and energy product sales and regulatory credits. Its goal is to speed up the world’s transition to sustainable energy by combining mobility and energy solutions in one ecosystem.
Company Size
10,001+
Company Stage
IPO
Headquarters
Austin, Texas
Founded
2003
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Simplify's Take
What believers are saying
- Tesla delivered 486,532 vehicles in Q3 2026, its best quarter yet.
- Energy deployments reached 13.7 GWh in Q3 2026, extending storage momentum.
- Active FSD subscriptions hit 1.48 million in Q2 2026, up 56%.
What critics are saying
- Tesla's operating margin fell to 1.4% in Q2 2026, crushing earnings power.
- Free cash flow turned negative $1.09 billion, while capex exceeds $25 billion.
- If Cybercab and Optimus slip through 2027, Tesla stays a low-margin carmaker.
What makes Tesla unique
- Tesla controls cars, batteries, charging, software, and direct sales, unlike legacy automakers.
- Supercharger access and over-the-air software updates keep Tesla's ecosystem sticky.
- Optimus, Cybercab, and FSD tie Tesla to robotics and autonomy, not just EVs.
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Benefits
Remote Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -1%2 year growth
↓ -1%Pilot and Tesla have opened their first Megacharger site for heavy-duty electric trucks at a Pilot travel centre in Ellabell, Georgia. The location features six charging stalls, with three additional sites expected to open soon in California, Texas, and Nevada. The companies announced their collaboration in January 2026 to develop a network of Tesla Megachargers at select Pilot locations along major US freight corridors. Each site will feature four to eight high-power charging stalls using Tesla's V4 cabinet technology, capable of delivering up to 1.2 megawatts of power per stall. According to Tesla, a Tesla Semi can recover 60% of charge in 30 minutes at these stations. Twelve locations are currently under construction across California, Georgia, Indiana, Nevada, and Texas.
Apple monetises AI through its high-margin Services business, whilst Tesla's heavy AI spending compressed earnings. Apple reported revenue of $109.42 billion, up 16.4%, with earnings per share of $2.02 beating estimates. Services runs at a 75.6% gross margin. Tesla's active full self-driving subscriptions rose 56% to 1.48 million, but earnings per share of $0.33 missed the $0.54 estimate. Operating margin shrank to 1.4%, and free cash flow fell to negative $1.09 billion. Capital expenditure is expected to exceed $25 billion. Apple bought back $25.8 billion of stock last quarter whilst increasing AI spending. Tesla pays no dividend and buys no stock. Apple shares are up 23% year to date, whilst Tesla fell 18%. Tesla trades at 346 times trailing earnings versus Apple's 38 times.
Tesla has redesigned its AI5 chip to use 96GB of RAM instead of the originally planned 144GB, a reduction of one-third. Elon Musk stated this was "the only way to get enough volume for Optimus production" and reduces costs. The redesign indicates the memory shortage has spread beyond data centres into robotics. Micron Technology's chief financial officer Mark Murphy said he has "no line of sight" for when the current memory shortage will ease. Micron's gross margin increased from 2.7% in fiscal 2023 to 80.7% in fiscal 2026. Consensus from 35 analysts expects Micron's revenue to reach approximately $275 billion in fiscal 2027, up from $133 billion in fiscal 2026. The main risk is that other chip designers may follow Tesla's example and find they need less memory than anticipated.
Tesla has rescheduled its long-awaited Roadster reveal to 15 October, moving from the original 1 October date due to weather concerns. The event must be held outdoors, likely to accommodate SpaceX thruster demonstrations. The supercar was first announced in 2017 with a promised launch "a few years away". Tesla collected $50,000 deposits from buyers, with the vehicle priced at around $200,000. Production could take a year or longer after the reveal. The Roadster is unlikely to significantly impact Tesla's revenue. The company delivered 480,126 vehicles in Q2, up 25% year-over-year, generating $28.2 billion in revenue. However, operating income fell 57% to $398 million. Tesla is investing heavily in AI and other projects, with capital expenditures more than doubling to $5.8 billion in Q2.
Tesla shares climbed 4.65% to $370.59 after reporting third-quarter deliveries of 486,532 vehicles, beating Wall Street estimates by approximately 25,000 units. Trading volume reached 53.9 million shares, 39% above the three-month average. The Model 3 and Y accounted for 478,237 deliveries. The strong performance came despite federal EV tax credits expiring in September 2025. The S&P 500 rose 0.74% whilst the Nasdaq Composite gained 1.19%. Rivals Rivian and Lucid declined 3.12% and 1.43% respectively, though Rivian also reported record quarterly deliveries. Investors are now focused on Tesla's upcoming October earnings report and whether the delivery momentum translates into strong revenue guidance.