Blitzy

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 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: Pune, India (In-Person) - Must be able to also support USA business hours

The Role

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.

What Success Looks Like

• 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.

Areas of Ownership

• 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.

Required Experience

• 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.

Additional Skills & Experience

• 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).

Hours & On-Call: please read

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.

Our Culture

Who we are:

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.

How we work:

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.

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 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: Pune, India (in-person role, HQ2)

The Role

We're looking for a Forward Deployed Engineer to join our Pune HQ2 team, thriving at the intersection of cutting-edge AI technology and real-world enterprise software challenges. You'll embed directly with customer engineering teams, helping them revolutionize their software development with Blitzy.

This isn't a typical solutions engineer role. You'll write production code, architect solutions, and work shoulder-to-shoulder with customer engineering teams to deliver transformative outcomes. You're equally comfortable debugging a complex integration, participating in sprint planning, or whiteboarding architecture with a CTO.

This role centers on our Java/Spring Boot enterprise stack — from core REST services and event-driven microservices to production operations — and requires close collaboration with our US-based engineering and customer teams, including time zone overlap for handoffs.

What Success Looks Like

• You deploy Blitzy into complex enterprise environments, navigating technical constraints while delivering immediate value
• You write custom integrations and extensions — built on Java 17 and Spring Boot 3.x — that unlock new use cases for customers
• You translate ambitious business goals into concrete technical implementations using Blitzy's AI capabilities
• You identify patterns across customer needs that influence our product roadmap
• You become a trusted technical advisor to engineering leaders, earning their confidence through hands-on expertise
• You drive successful POCs that expand into enterprise-wide deployments
• You contribute code and insights back to our core platform based on field experience

Areas of Ownership

Customer Partnership

• Embed with customer teams during critical implementations, serving as their technical co-pilot
• Participate in customer sprint planning, architecture reviews, and technical decision-making
• Build custom solutions that demonstrate Blitzy's capabilities in their specific environment

Technical Implementation

• Write production-quality Java 17 / Spring Boot 3.x services (Spring MVC, Spring Data JPA, Spring Security, Actuator) to integrate Blitzy with existing enterprise systems
• Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger
• Own data persistence with PostgreSQL, Hibernate/JPA, and Liquibase-managed database migrations
• Package and deploy containerized services with Docker, managing dependencies through Maven (BOM and multi-module projects)
• Develop reusable patterns, scripts, and tools that accelerate customer adoption
• Debug complex issues spanning customer infrastructure and our platform
• Create technical demos that showcase advanced use cases

Quality & Production Operations

• Write thorough test coverage using JUnit 5, Cucumber/Gherkin, and JMeter for performance validation
• Maintain code quality and observability with Git, Logback/SLF4J, SpotBugs, and SonarQube
• Support microservice architectures and production operations, including health checks, metrics, and configuration management

Strategic Impact

• Decompose executive vision into actionable engineering roadmaps
• Identify expansion opportunities within accounts based on technical insights
• Collaborate with our product team to prioritize features based on field experience
• Contribute to our technical documentation and best practices

Required Experience

• 4–10 years of software engineering experience with a track record of shipping production code
• Strong hands-on experience with Java 17 (must-have)
• Spring Boot 3.x expertise, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
• PostgreSQL and Hibernate/JPA for data persistence
• Maven for dependency management (BOM and multi-module projects)
• Liquibase for database migrations
• REST API development using a contract-first/OpenAPI approach with Swagger
• Docker for containerized services
• Testing and performance tooling: JUnit 5, Cucumber/Gherkin, and JMeter
• Git, Logback/SLF4J, and static analysis tools such as SpotBugs and SonarQube
• Familiarity with microservice architectures and Spring Boot production operations (health checks, metrics, configuration)
• Deep understanding of modern software development practices (CI/CD, microservices, cloud architecture)
• Experience with enterprise development workflows, including Agile/Scrum methodologies
• Strong communication skills, with time zone overlap to support handoffs with our US-based teams—you can explain technical concepts to anyone from intern to CTO
• Must be based in or willing to work in-person from Pune, India

What Makes You Stand Out

• Jakarta EE experience, particularly Spring Boot 3 migrations
• Caching experience using Spring Cache
• Familiarity with Apache HttpClient 5
• Enterprise modernization experience: Java 8 → Java 17 upgrades and monolith → microservices migrations
• Exposure to event-driven architecture, including Spring Kafka, Apache Kafka consumers, dead-letter topics (DLT), and retry patterns
• Experience with Confluent Schema Registry and Apache Avro, including schema evolution and contract-first integrations
• Familiarity with Spring RestClient, Testcontainers, WireMock, and JaCoCo
• Observability experience with Micrometer and Dynatrace
• Exposure to Saga orchestration, resilience/retry patterns, Kubernetes, or the WSO2 API Gateway
• Experience at high-growth startups or in customer-facing engineering roles
• Background in AI/ML, developer tools, or enterprise modernization projects
• Track record of technical thought leadership (blogs, talks, open source contributions)
• Passion for the future of AI-powered software development

What Makes This Role Different

• Production Code, Real Stakes: Unlike traditional FDE roles that focus on configuration and support, you'll be writing production Java/Spring Boot code that directly impacts customer success and enterprise deals you can see the outcome of.
• Frontier AI Work: You'll shape AI adoption at the frontier of what's possible with generative AI—working with a platform that generates complete applications, not just code snippets.
• Influence the Roadmap: You'll influence product direction through direct field experience, feeding real customer insight back into our roadmap.
• Onsite Opportunities: High performers are eligible for company-sponsored trips to our Cambridge, MA headquarters based on business needs, with potential international transfer support for top talent.
• Full Employment Package: This is a full-time role directly with our Private Limited Company in Pune. Benefits include medical insurance, participation in the company stock option program, Employer Provident Fund contributions with gratuity after 5 years, technology allowance, meal provision, and a beautiful office environment.
• Clear Growth Path: Flexibility to transition into core product or platform engineering as Blitzy scales.

Our Culture

Who we are:

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.

How we work:

• 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.

The Role

As a Senior Site Reliability Engineer at Blitzy's Pune headquarters, you will be the backbone of our platform's reliability, scalability, and operational excellence. You'll work at the intersection of software engineering and infrastructure, ensuring our AI-powered development platform remains highly available and performant as we scale rapidly. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build.

What Success Looks Like

• In 30 days: You have a deep understanding of Blitzy's infrastructure architecture, have identified key reliability risks, and are actively contributing to on-call rotations.
• In 90 days: You have shipped meaningful improvements to observability, incident response workflows, and deployment pipelines that measurably reduce MTTR and increase system uptime.
• In 6 months: You have driven at least one major reliability initiative from inception to production, established SLO/SLA frameworks for critical services, and are a trusted technical voice shaping our infrastructure roadmap.

Areas of Ownership

• Design, build, and operate scalable, fault-tolerant infrastructure across cloud environments (AWS, GCP, or Azure).
• Define and enforce SLOs, SLAs, and error budgets; lead blameless postmortems and drive systemic improvements.
• Build and maintain robust CI/CD pipelines, release automation, and deployment infrastructure.
• Own observability: design and maintain logging, metrics, tracing, and alerting stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Partner closely with software engineering teams to embed reliability practices into the development lifecycle.
• Drive capacity planning, performance benchmarking, and cost optimization across our infrastructure.
• Champion security best practices within the infrastructure and deployment layers.

Required Experience

• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
• Strong proficiency in at least one major cloud platform (AWS preferred); experience with Kubernetes and container orchestration at scale.
• Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or equivalent).
• Proven track record designing and maintaining high-availability, distributed systems.
• Deep expertise in observability tooling, incident management, and on-call practices.
• Strong scripting and automation skills (Python, Go, Bash, or similar).
• Excellent communication skills with the ability to collaborate across engineering teams and present technical findings to leadership.

What Makes You Stand Out

• Experience supporting AI/ML workloads or GPU-accelerated infrastructure.
• Prior experience in a high-growth startup environment where you wore multiple hats.
• Familiarity with eBPF, service mesh technologies (Istio, Linkerd), or advanced networking.
• Contributions to open-source SRE/DevOps tooling or communities.
• Experience building global, multi-region infrastructure with strict latency and availability requirements.

What Makes This Role Different

You won't be maintaining legacy systems or fighting fires in a sprawling monolith. At Blitzy, you're building reliability into a greenfield AI platform that is redefining how the world creates software. You'll have direct influence over architectural decisions, work side-by-side with world-class engineers, and see the tangible impact of your work as we scale to serve Fortune 500 customers. As a founding member of the Pune SRE team, you'll help shape the culture and technical standards of a team that will grow with the company.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

About the role

We are looking for talented Senior Backend Engineers (5+ years of experience) to join our team and take ownership of different parts of our stack. You will be working alongside a team of Engineers locally and directly with the U.S. Engineering team on all aspects of product/application development. You will leverage your experiences and abilities to inform decisions across product development and technology. You will help us build the foundation of our 2nd Headquarters in Pune: its culture, its processes, and its practices. There are a ton of interesting problems to solve, so come hungry. If your colleagues describe you as curious, driven, kind, and creative you are a culture fit.

What Success Looks Like

• You write, review and ship code in production. Your employer or client's success depends on the software you build
• You use Generative AI tools on a daily basis to enhance the quality and efficacy of your software and non-software deliverables
• You are a self-starter and enjoy working with minimal supervision
• You evaluate and make technical architecture decisions with a long-term view, optimizing for speed, quality, and safety
• You take pride in the product you create and the code that you write
• Your team can rely on you to get them out of a sticky situation in production
• You can work well on a team of sales executives, designers and engineers in an in-person environment
• You are passionate about the enterprise software development lifecycle and feel strongly about improving it
• You are a first principles engineer who exercises curiosity about the technologies you work with
• You can learn quickly about technologies, software and code that you are not familiar with, often from rudimentary documentation
• You take ownership of the code that you write, and you help the team operate with everything that you build, throughout its lifecycle
• You communicate openly and solicit feedback on important decisions, keeping the team aligned on your rationale
• You exercise an optimistic mindset and are willing to go the extra mile to make things work

Areas of Ownership

Our hiring process is designed for you to demonstrate a generalist set of capabilities, with a specialization in Backend Technologies.

Required Technical Experience (MUST HAVE):

• Expertise in Python -
• Deep hands-on experience with Terraform -
• Proficiency in Kubernetes -
• Experience with cloud platforms (GCP strongly preferred, AWS/Azure acceptable) -

Additional experience with some of the following:

• Backend Frameworks and Technologies (Node.js, NuxtJS, Express.js)
• Programming languages (JavaScript, TypeScript, Java, C++, Go)
• RPCs (REST, gRPC or GraphQL)
• Databases (SQL, NoSQL, Postgres, MongoDB, or Firebase)
• CI/CD (Jenkins, CircleCI, GitLab or similar)
• Source code versioning tools such as Git or Perforce
• Microservices architecture

Ways to stand out

• Familiarity with AI Platforms
• Extensive experience with building enterprise-scale applications with >99% SLAs
• Deep expertise across the full required stack: Python, Terraform, Kubernetes, and GCP

You'll Get...

• Competitive Salary
• Medical Insurance Benefits
• Employer Provident Fund contributions with Gratuity after 5 years of service
• Company-sponsored US onsite trips for high performers, based on business requirements
• Potential international transfer support for top performers, based on business requirements
• Technology (hardware, software, trainings, etc.) equipment and/or allowance
• The opportunity to re-shape an entire industry
• Beautiful office environment
• Meal allowance and/or food provision on site

Culture

Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.