Sr.Software Engineer (Golang)

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

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.

The Role

We're seeking an experienced POC Engineer to join our India HQ2 team. This critical role sits at the intersection of cutting-edge AI technology and enterprise customer success. You'll lead the technical design, development, and delivery of proof-of-concept implementations that demonstrate the transformative power of Blitzy's agentic software development platform to Fortune 500 clients. This role requires deep technical expertise, strong customer-facing skills, and the ability to rapidly prototype and iterate on complex AI-driven solutions.

What You'll Do

• Lead Technical Pilots and POCs: Design, architect, and implement end-to-end proof-of-concept solutions that showcase Blitzy's platform capabilities to enterprise customers
• Customer Collaboration: Work directly with Fortune 500 clients to understand their technical requirements, challenges, and success criteria for POC engagements
• Rapid Prototyping: Build functional demonstrations and prototypes that prove technical feasibility and business value, often under tight timelines
• AI/ML Integration: Leverage LLMs, agentic workflows, and multimodal AI capabilities to solve complex customer use cases
• Technical Architecture: Design scalable, production-grade architectures that can transition from POC to full implementation
• Performance Optimization: Conduct performance analysis, identify bottlenecks, and optimize solutions for speed, efficiency, and reliability
• Documentation & Knowledge Transfer: Create comprehensive technical documentation and effectively communicate architecture decisions to both technical and non-technical stakeholders
• Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to refine platform capabilities based on customer feedback
• Innovation Leadership: Stay at the forefront of AI/ML advances and identify opportunities to incorporate new techniques into POC solutions

What We're Looking For

Required Qualifications

• 10+ years of software engineering experience with proven track record in enterprise software development and production systems
• Deep expertise in AI/ML technologies, particularly with LLMs, agentic systems, and generative AI applications
• Strong background in building enterprise-grade solutions that have shipped to production
• Extensive experience with modern software architecture, including cloud-based platforms (AWS, GCP, or Azure)
• Proficiency in multiple programming languages (Python, TypeScript/JavaScript, Go, Java, or C++)
• Demonstrated experience leading technical teams and mentoring engineers
• Proven ability to translate complex technical concepts for diverse audiences
• Track record of working directly with enterprise customers in technical consulting or solutions engineering capacity
• Strong analytical and problem-solving skills with focus on performance optimization
• Excellent communication skills with ability to present to C-level executives

Preferred Qualifications

• Background in developing AI agentic workflow orchestrators or similar multi-agent systems
• Experience with GPU-based computing and optimization
• Experience with sequence-to-sequence models and deep neural network architectures
• M.S. or Ph.D. in Computer Science, Engineering, or related field
• Experience leading distributed teams across geographies
• Track record of innovation (patents, publications, or open-source contributions)
• Experience with Responsible AI practices and frameworks

Key Success Metrics

• Successfully deliver POCs that convert to paid customer engagements
• Achieve high customer satisfaction scores and build strong customer relationships
• Reduce time-to-value for POC implementations through reusable frameworks and components
• Contribute technical insights that improve core platform capabilities
• Build scalable POC processes and best practices for the India team

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.

What We Offer

• Opportunity to shape Blitzy's expansion in India as a founding member of HQ2
• Work with cutting-edge AI technology and Fortune 500 enterprise clients
• Competitive compensation package including equity
• Collaborative, high-performance team environment
• Professional growth opportunities in a fast-scaling startup
• Chance to make significant impact on product direction through customer insights
• Culture that values innovation, technical excellence, and work-life balance

• 3+ years of experience in Technology.
• A strong product design sense.
• Good experience in working with programming language Golang.
• Understand end-user requirements, formulate use cases and come up with effective solutions.
• Good understanding of REST APIs and the web in general.

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

Need Immediate Joiners only (4-5 days)

Overall experience 6+ years and relevant at least 2+ years in Golang with Java

● Strong design and architectural experience in building various highly-scalable and

highly-available products

● Strong understanding of the SDLC Activities which include Analysis, Design, Development,

Testing, Deployment and Post-Production Support etc.

● Proficiency in at least one server side framework for languages preferably Go Lang

● Experience working on NoSQL & SQL Databases such as MySQL, PostgreSQL, MongoDB,

Redis etc

● Deep Dive, problem-solving, RCA and systematic thinking to reach the cause of issues

● Able to work independently and multi-task effectively

● Program at a system level and able to manage service stability

● Excellent experience maintaining, scalable, extensible code

● Methodical in maintaining up to date documentation

● Metric-driven mindset and obsessive about ensuring clean coding practices

● Preferred experience in product development

● Preferred working experience on microservices platforms

● Proficiency in at least one modern web front-end development framework such as React JS

will be a bonus

Good to Have Skills:

● Preferred experience in Elasticsearch and Kibana (ELK Stack)

● Preferred experience with messaging systems like RabbitMQ

Software Engineer

Responsibilities

• Work with a performance oriented team driven by ownership and open to experiments.
• Learn to design systems for high accuracy, efficiency and scalability.
• Help us make decisions to shape our REST APIs for developers worldwide
• Think outside the box, adapting the latest software technologies
• Contribute to open source
• Be involved and drive product & design discussions.
• Contribute to our technical innovation by learning and sharing your knowledge with our Engineering teams

Requirements

• Graduation in any technical stream
• A minimum of (3 to 5 ) years of relevant experience
• Ability to work at all levels of the stack, from Golang/NodeJS+NoSQL/SQL to React/+HTML+CSS+Azure/AWS
• Good architectural & design skills.
• Take full ownership and responsibility for building, shipping, and maintaining core LoginRadius features, end to end.
• Design and architect complex new systems, focusing not only on performance and scalability, but also on crafting a beautiful user experience.
• Experience in Docker/Kubernetes is a plus
• Ability to build a feature from scratch & drive it to completion
• A willingness to learn new technology, whatever lets you deliver the best product

• Have worked at a product company is a plus

Job description 

• Lead design, development, implementation and maintenance of applications & back-end  services demonstrating service-oriented architecture. 
• Design, build, test, and maintain scalable APIs, services, and systems within the  platform. 
• Choose the right Data Structures, tools, and tech stacks and do high-level design with guidance. 
• Build, develop, mentor, review code and coach junior team members. 
• Extensive programming experience with cross-platform development: Java/SpringBoot,  Javascript/Node.js, Express.js or Python 
• Extensive knowledge of ElasticSearch, MongoDB or Cassandra, Redis, SQS and data  streaming (Spark, Flink, Kafka streams, storm, etc.). 
• Well versed in Kafka Understanding cloud native technologies such as Docker and  Kubernetes, capable to cover full development lifecycle including CI/CD 
• Experience in use of source code management system like GIT, bitbucket and build tools  like ant, maven, Gradle or make. 
• Take great pride in Code quality and developer productivity. 
• Put in Microservcies architecture in place that paves road for scalability, efficiency,  observability, and availability. 
• Build (and open source) data processing, storage and fetch systems at the petabyte scale  with the lowest cost/GB while still responding in milliseconds at the 99th percentile. 
• Write algorithms and services to influence personalisation and recommendation from a  real-time recommendation engine for both home feed to surface most viral videos +  video e-commerce 
• Build machine learning pipelines using Kinesis,Spark/Flink/TensorFlow etc 
• Agile methodologies, Sprint management, Roadmap, Mentoring, Documenting, Software  architecture 
• Proven experience in handling large infrastructure and distributed systems Liaison with Product Management, DevOps, QA, Client and other teams Your Experience Across The Years in the Roles You’ve Played 

• Have total or more 7 - 9 years of experience with 2-3 years in a startup. Have B.Tech or M.Tech or equivalent academic qualification from premier institute. Experience in Product companies working on Internet-scale applications is preferred 
• Thoroughly aware of cloud computing infrastructure on AWS leveraging cloud native  service and infrastructure services to design solutions.
• Follow Cloud Native Computing Foundation leveraging mature open source projects  including understanding of containerisation/Kubernetes. 

We Value Engineers Who Are :

• Customer-focused: We believe that doing what’s right for the creator is ultimately what  will drive our business forward. 
• Obsessed with Quality: Your Production code just works & scales linearly 
• Team players. You believe that more can be achieved together. You listen to feedback  and also provide supportive feedback to help others grow/improve. 
• Pragmatic: We do things quickly to learn what our creators desire. You know when it’s  appropriate to take shortcuts that don’t sacrifice quality or maintainability 

Chingari Benefits 

The glory. Almost too much responsibility. 

A fun-life balance 

A ticket on our rocket ship to the moon. �� 

About the Role:

We are looking for a Senior Software Engineer with experience in ROR/GoLang , having 3+ yrs of experience on how best to leverage and exploit the language’s unique paradigms, idioms, and syntax. Your primary focus will be on developing Enterprise Grade Systems and programs that are scalable and maintainable. You will ensure that these packages and programs are well documented and has a reasonable test coverage. You will coordinate with the rest of the team working on different layers of the infrastructure. A commitment to collaborative problem solving, sophisticated design, and quality product is essential.

What You'll Do

• Writing scalable, robust, testable, efficient, and easily maintainable code
• Translating software requirements into stable, working, high performance software
• Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture

What You'll Need

• Working experience on Ruby-on-Rails(ROR)/Golang.
• Worked on enterprise grade systems
• Have designed web services
• Know how to scale systems that have database bottlenecks etc. 
• Having good exposure to Microservices architecture added value.
• Familiarity with OAuth, JWT, SSO, Authentication, and Identity Federation is an added advantage.
• Familiar with AWS, Docker, and Kubernetes, Pods and Meshes are added advantage.
• Experience in MySQL, Snowflake, and MongoDB is an added advantage