Cambridge, Massachusetts, United States · On-site
$100k–$140k/yr
About Blitzy Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revol…
Skills: Distributed Systems Debugging, Kubernetes, Docker, GCP, AWS
Pune, Maharashtra, India · On-site
$4000k–$6500k/yr
U.S. GenAI startup, Pune Office, Private Limited Company Full Time Employment directly to our Private Limited Company. We are committed to an enduring and robust presence in Pune. Our goal is to enable you to have a long…
Skills: Project Management, Agile, Scrum, Jira, Asana
Pune, Maharashtra, India · On-site
$4500k–$7000k/yr
U.S. GenAI startup, Pune Office, Private Limited Company Full Time Employment directly to our Private Limited Company. We are committed to an enduring and robust presence in Pune. Our goal is to enable you to have a long…
Skills: Graphic Design, Visual Design, Presentation Design, Adobe Illustrator, Adobe Photoshop
Cambridge, Massachusetts, United States · On-site
About Blitzy Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revol…
Skills: Enterprise Architecture, AI Code-Generation, Technical Validation, Executive Communication, MEDDPICC
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Deploy and maintain the AI platform in customer environments while triaging and resolving L2 technical issues. Create runbooks and dashboards to reduce recurring problems and provide evidence-backed escalations to the engineering team.
Requires deep expertise in Kubernetes, Docker, and major cloud providers (AWS, GCP, Azure) with a strong focus on distributed systems debugging. Proficiency in Python, Redis, SQL, and observability tools like Datadog is essential.
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.
Location: Cambridge, MA (On-site)
Compensation: $100,000 - $140,000 salary + equity
The role is to support our clients and ensure a stable environment across the full lifecycle: installation, ongoing upgrades, and day-to-day operation. The L2 Support Engineer works alongside L1 to triage and resolve issues, and escalates unresolved defects to engineering. It operates across Kubernetes, Docker, and the major cloud providers.
Customers' issues are resolved faster and escalated cleaner.
Recurring problems turn into runbooks, dashboards, and alerts, not repeat tickets.
Engineering trusts your escalations because they come with proof, not guesses.
Customers trust your communication because it's clear, honest, and on time.
Deploy and install the platform into customer environments, and troubleshoot installation issues.
Support ongoing upgrades and day-to-day operation, keeping customer environments stable.
Work alongside L1 to triage and resolve customer-reported issues, driving them to resolution or escalation.
Diagnose failures across the stack: compute, networking, storage, and the services running on it.
Reproduce issues safely against live (often multi-tenant) environments using read-only diagnostics first.
Build and maintain dashboards, monitors, and runbooks so recurring issues get faster to fix: or stop recurring.
Write up clear, evidence-backed escalations and post-incident notes.
Communicate status and resolution to customers clearly and on time.
Distributed-systems debugging. Reason about a request crossing multiple services, queues, and network hops, and isolate which hop failed. You debug by forming a hypothesis and confirming it with evidence (logs, pod state, queue depth, DB rows), not by guessing.
Kubernetes & Docker.
Major cloud providers: GCP, AWS, and Azure. Hands-on with at least one deeply and able to work across the others: managed Kubernetes (GKE/AKS), cloud logging, IAM/auth basics, and cloud disk/storage behavior.
Strong monitoring & observability practice. Fluent with an APM/observability stack (Datadog or equivalent): log queries, correlating across services by request/trace IDs, reading traces, and building dashboards and alerts. You reach for the data before theorizing.
Python and Redis literacy.
Basic message queueing. Command transport runs over a message queue (Redis/rq). Comfort inspecting queue depth, backlogs, and stuck/failed jobs; concepts transfer from any broker.
Networking & WebSockets. Many of our hardest issues are connection problems: WebSocket/Socket.IO drops, NAT/idle/LB timeouts, half-open sockets, DNS-vs-routing, TLS. Tell a transport fault from an application fault.
SQL / PostgreSQL. Query operational tables to confirm what the system recorded.
Source-control platforms. GitHub (incl. GitHub Enterprise Server), Azure DevOps, and/or GitLab, clone/push/pull, access tokens, app credentials, and their failure modes.
CI/CD, Helm & deploy integrity. Many "sudden regressions" are a bad or partial deploy: check what version is actually running before chasing architecture theories. Helm and container deploy pipelines expected. ArgoCD is a plus.
Secrets management. Comfort handling secrets, credentials, and certificates safely, ideally with Vault (strongly preferred).
Linux and Windows. Workloads run on both; comfort triaging on each OS (process inspection, filesystem, basic networking).
Methodical, evidence-first temperament. Hold several candidate causes at once, run the cheapest disconfirming check first, and never claim a root cause or fix you haven't proven.
Multi-tenant safety mindset. Environments are shared and customer-owned: default to read-only diagnostics and understand blast radius before changing anything.
Incident management & ticketing workflows: Jira or similar (a plus).
Prior customer-facing support or SRE/on-call experience (a plus).
This is a customer support role, and the hours can be unconventional. Customers operate primarily in US time zones, so coverage is anchored to US business hours (roughly ET–PT). If you're based outside the US, expect your working day to shift accordingly.
Incidents don't keep office hours. Expect a rotating on-call schedule and occasional evening, early-morning, or weekend escalations outside a standard 9–5. We structure for it: rotations are shared fairly, on-call is compensated/time-off-in-lieu per policy, and we protect recovery time after heavy incidents.
If you're not comfortable with US-aligned hours and periodic off-hours on-call, this likely isn't the right role, and that's completely fine.
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.
The first autonomous software development platform with infinite code context, purpose built for the enterprise.
Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose built for large, complex enterprise-scale codebases. While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency. With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint, creating a bespoke agent plan, then autonomously generating enterprise-grade, premium quality code, grounded in a deep understanding of your existing codebase, services, and standards. Blitzy’s orchestration layer of cooperative agents thinks for hours to days, autonomously planning, building, improving, and validating code. It executes spec and test driven development, done at the speed of compute. The platform completes more than 80% of the work autonomously, typically weeks to months of work, while providing a clear action plan for the remaining human development. Used for both large scale feature additions and modernization work, Blitzy is the secret weapon for Fortune 500 companies globally, unlocking 5x engineering velocity and delivering months of engineering work in a matter of days. Blitzy was co-founded by Brian Elliott, a serial entrepreneur, and Sid Pardeshi, an ex-NVIDIA software architect with 27 Generative AI patents to his name.
Offices: Boston, Massachusetts 02215, US · 1 Kendall Sq, Floor 2, Cambridge, Massachusetts 02139, US
The first autonomous software development platform with infinite code context, purpose built for the enterprise.
Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose built for large, complex enterprise-scale codebases. While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency. With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint, creating a bespoke agent plan, then autonomously generating enterprise-grade, premium quality code, grounded in a deep understanding of your existing codebase, services, and standards. Blitzy’s orchestration layer of cooperative agents thinks for hours to days, autonomously planning, building, improving, and validating code. It executes spec and test driven development, done at the speed of compute. The platform completes more than 80% of the work autonomously, typically weeks to months of work, while providing a clear action plan for the remaining human development. Used for both large scale feature additions and modernization work, Blitzy is the secret weapon for Fortune 500 companies globally, unlocking 5x engineering velocity and delivering months of engineering work in a matter of days. Blitzy was co-founded by Brian Elliott, a serial entrepreneur, and Sid Pardeshi, an ex-NVIDIA software architect with 27 Generative AI patents to his name.
Offices: Boston, Massachusetts 02215, US · 1 Kendall Sq, Floor 2, Cambridge, Massachusetts 02139, US
