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Staff / Principal Software Engineer
Staff / Principal Software Engineer

Staff / Principal Software Engineer at Blitzy · Pune · 12 - 25 years · ₹70L - ₹120L / yr (ESOP available) · Raised funding · Posted 23 Oct 2026

Blitzy's logo

Staff / Principal Software Engineer

Taher Ujjainwala's profile picture
Posted by Taher Ujjainwala
12 - 25 yrs
₹70L - ₹120L / yr (ESOP available)
Pune
Skills
skill iconPython
skill iconKubernetes
Google Cloud Platform (GCP)
skill iconAmazon Web Services (AWS)
Windows Azure
Microsoft Windows Azure
skill iconNodeJS (Node.js)
skill iconJavascript
Terraform
SQL
NOSQL Databases
Generative AI (GenAI)
Agentic AI
Artificial Intelligence (AI)
Retrieval Augmented Generation (RAG)
LangSmith
Langfuse
Braintrust
Microservices
RESTful APIs

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.


Responsibilities

  • Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
  • Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
  • Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
  • Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
  • Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
  • Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
  • Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
  • Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.


Qualifications

  • Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
  • Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
  • Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
  • Advanced knowledge of Kubernetes and Terraform in production environments.
  • Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
  • Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
  • Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
  • Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
  • Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
  • Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
  • Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
  • Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.


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 enterprise grade 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.


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 


Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

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About Blitzy

Founded :
2023
Type :
Product
Size :
100-500
Stage :
Raised funding

About

Blitzy is a Boston, MA based Generative AI Start-up with an established office in Pune, India. We are on a mission to automate custom software creation to unlock the next industrial revolution. We're backed by multiple tier 1 investors, have success as founders at the last start-up, and dozens of Generative AI patents to our names.


Our Culture

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.


Funding Journey

In September 2024, Blitzy secured $4.4M in seed funding from prominent investors including Link Ventures, Asymmetric Capital Partners, Flybridge, and four other strategic investors, demonstrating strong market confidence in their autonomous software development platform.


Our Values

  1. We move Blitzy Fast: Time is both our company's and our client's most precious asset. We move fast and fearlessly to innovate internally and deliver exceptional software externally to our clients.
  2. We have a 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.
  3. We have a Passion for Invention: We are inventors at heart. We value starting with best practices and open source, but we are pushing the frontier of what is possible.
  4. We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships to deep, meaningful partnerships.


What We Ask of Candidates

Please ask yourself if you are ready for a challenge before applying. Even in optimal conditions, Start-Ups are hard, and are always a lot of work. What you do week to week will change. If this feels exciting, not concerning, that's a good sign.

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Candid answers by the company

What does the company do?
What is the location preference of jobs?

Blitzy is a Boston-based AI company that automates end-to-end custom software development. Their platform accelerates development for both new and existing projects, enabling enterprises to build software in days with up to 80% automation of development work

Product showcase

Blitzy AI's logo
Blitzy AI
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We orchestrate thousands of specialized agents working in parallel. Think of it as a full development team that: Maintains perfect system context, documents everything meticulously, works around the clock and handles 300k+ lines of code seamlessly.
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Relentless Pursuit of Quality with Pragmatism 

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Extreme Ownership 

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Active Pursuit of Mastery 

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Experience Level


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An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.


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  We continuously improve our craft and raise our bar. 


Invite, Give, and Act on Feedback 


We seek, give, and act on feedback to get better every day. 


Ensuring Client Success 


We act as trusted partners and focus on real outcomes, not just output. 


Job Description


This is a remote position.


Experience Level


This role is ideal for engineers with total 5+ years of experience with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.


What You’ll Do as a Software Craftsperson 


  • Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
  • Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality. 
  • Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
  • Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
  • Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
  • Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
  • Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
  • Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering 



Requirements


What You’ll Bring 


  • 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
  • Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
  • Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
  • Proficiency in one or more modern technologies Python, React, AI, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
  • Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
  • Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
  • Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
  • A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.



Benefits


Life at Incubyte ​


We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 


Benefits 


  • Dedicated learning & development budget. 
  • Sponsorship for conference talks. 
  • Comprehensive medical & term insurance. 
  • Employee-friendly leave policies. 
  • Home Office fund 
  • Medical Insurance 
Read more
Tech Prescient
at Tech Prescient
3 candid answers
3 recruiters
Ashwini Damle
Posted by Ashwini Damle
Pune
13 - 18 yrs
₹25L - ₹35L / yr
skill iconPython
Technical Architecture
skill iconAmazon Web Services (AWS)
Microservices
SaaS/Multi-tenant Architecture
+2 more

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design


About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.


Key Responsibilities

  • Own the overall product architecture and technical roadmap.
  • Design and build scalable, secure, and highly available enterprise applications.
  • Lead the design and implementation of new product features from concept to production.
  • Remain hands-on with coding and contribute to critical product components.
  • Drive architecture reviews, code quality, performance optimization, and engineering best practices.
  • Lead cloud architecture, security, scalability, and DevOps initiatives.
  • Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
  • Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.



Required Skills & Qualifications

  • 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
  • Strong hands-on expertise in Python and modern backend frameworks.
  • Deep experience with AWS services and cloud-native application architecture.
  • Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
  • Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
  • Strong knowledge of SQL and NoSQL databases.
  • Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
  • Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
  • Strong analytical, problem-solving, and decision-making skills.
Read more
Searce Inc
at Searce Inc
3 recruiters
Mohammed Rabidheen
Posted by Mohammed Rabidheen
Coimbatore
3 - 8 yrs
Best in industry
Windows Azure
AKS
DevOps
Microsoft Windows Azure

Senior Cloud Site Reliability Engineer (CSRE) – Azure


About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.


Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.


Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.


Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

  • Production-level management of GKE, AKS, and EKS.
  • Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption
Read more
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
6 - 12 yrs
₹45L - ₹50L / yr
skill iconPython
skill iconReact.js
skill iconJavascript
API management
RESTful APIs

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

  • Generating client proposals using historical SharePoint data and CRM insights
  • Summarizing meeting transcripts
  • Drafting follow-up communications
  • Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

  • Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
  • Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
  • Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
  • Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
  • Drive architecture decisions balancing scalability, performance, and security
  • Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
  • Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

  • 5+ years in full-stack development (Python backend + React/JavaScript frontend)
  • Strong experience in API and microservice integration
  • 2+ years leading technical teams and coordinating distributed engineering efforts
  • 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
  • Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

  • Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
  • Ensuring backend and AI systems are scalable, reliable, observable, and secure
  • Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
  • Experience building production-grade AI systems within enterprise SaaS ecosystems




Read more
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