Golang Engineer - Remote opportunity with an early age start-up!! at US based early age start-up!! · Remote only · 4 - 10 years · ₹20L - ₹70L / yr · Remote only · Posted 8 Sep 2022

Golang Engineer - Remote opportunity with an early age start-up!!
at US based early age start-up!!
● Mastery of Golang, with experience working on complex projects.
● Experience of working in a high performance/high scalability environment.
● Experience with optimization
● Linux systems experience at the network and system level. Can discuss things like
epoll and TCP handshakes.
● Experience with production environments including hands-on experience dealing
with deployments, monitoring, hotfixing, A/B testing, triaging, and stability.
● Backend Framework: gin
● Monitoring/performance tools: Datadog

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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.
What You’ll Do:
● Lead and mentor a team of backend engineers, providing technical direction, guidance, and
performance feedback
● Architect, design, and develop scalable backend services and APIs using Golang
● Own SQL database design, optimization, indexing, and performance tuning to ensure data integrity
and efficiency
● Work closely with Product, QA, DevOps, and Analytics teams to translate business requirements
into robust technical solutions
● Drive best practices in system design, code quality, security, and reliability
● Troubleshoot and resolve complex issues across development, staging, and production
environments
● Oversee CI/CD pipelines and ensure smooth, reliable deployments
● Conduct and participate in code reviews to maintain high engineering standards
● Collaborate with QA teams to ensure thorough testing and high-quality releases
● Stay updated with emerging technologies and industry trends, recommending and implementing
improvements where applicable
● Foster a collaborative, innovative, and growth-oriented engineering culture
What You’ll Need
● 6+ years of professional software engineering experience, including 3+ years of hands-on Golang
development
● Proven experience leading or managing engineering teams
● Strong expertise in SQL databases (schema design, query optimization, indexing, performance
tuning)
● Hands-on experience with Columnar OLAP databases (Druid, ClickHouse, or similar)
● Hands-on experience with OLTP databases (ScyllaDB, Redis, or similar)
● Solid understanding of microservices architecture, RESTful APIs, and distributed systems
● Experience with Docker, Kubernetes, and cloud platforms (AWS / GCP / Azure)
● Strong proficiency with Git and collaborative development workflows
● Deep understanding of concurrency, performance optimization, and memory management in
Golang
Nice to Have:
● Experience with NoSQL databases and data modeling
● Exposure to messaging systems such as Kafka, RabbitMQ, or similar
● Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
● Experience working in Agile / Scrum environments
Job Description: Software Engineer - Backend ( 3-5 Years)
Location: Bangalore
WHO WE ARE:
TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives
through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.
We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.
In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.
OUR VALUES: Go with your GUT
●Grow at the Edge: We embrace personal growth by stepping out of our comfort zones to
discover our genius zones, driven by self-awareness and integrity. No excuses.
●Understanding through Listening and Speaking the Truth: Transparency, radical candor,
and authenticity define our communication. We challenge ideas, but once decisions are
made, we commit fully.
●I Win for Teamwin: We operate within our genius zones, taking ownership of our work
and inspiring our team with energy and attitude to win together.
Responsibilities:
• Contribute to the entire implementation process including driving the definition of improvements based on business needs and architectural improvements.
• Review code for quality and implementation of best practices.
• Promote coding, testing, and deployment best practices through hands-on research and demonstration.
• Write testable code that enables extremely high levels of code coverage.
• Ability to review frameworks and design principles toward suitability in the project context.
• Candidates who will demonstrate an ability to identify an opportunity lay out a rational plan for pursuing that opportunity, and see it through to completion.
Requirements:
• Engineering graduate with 3+ years of experience in software product development.
• Proficient in Python, Django, Pandas, GitHub, and AWS.
• Good knowledge of PostgreSQL, and MongoDB.
• Strong Experience in designing REST APIs.
• Experience with working on scalable interactive web applications.
• A clear understanding of software design constructs and their implementation.
• Understanding of the threading limitations of Python and multi-process architecture.
• Familiarity with some ORM (Object Relational Mapper) libraries.
• Good understanding of Test Driven Development.
• Unit and Integration testing.
• Preferred exposure to Finance domain.
• Strong written and oral communication skills.
JD:
As a Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams.
Key Skills:
- 3 to 6 years of experience
- Extensive experience on C/C++/Python
- Experience on OS - Unix/Linux and Windows
- Hands on experience in Networking and Multi-threading
Desirable Skills:
- Experience in Cloud Technologies, system programming is a plus
Roles and responsibilities:
- Play key role in design/development of security product.
- Responsible for the complete software development cycle.
- Gathering & understanding requirements.
- Design, development & implementation independently.
- Responsible for ensuring timely and quality delivery.
- Will be able to work in end to end features.
Qualification:
- B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.
Skills:
- Proficient in Go programming language with experience in building high-performance, scalable applications
- Experience with Java development a plus
- Familiarity with Git version control systems (e.g., GitHub, GitLab, BitBucket, SVN)
- Solid understanding of RESTful web services APIs
- Experience with CI/CD tools like Jenkins
- Experience with NoSQL databases
- Experience working with PostgreSQL databases
Responsibilities:
- Design, develop, and maintain robust and efficient Go code
- Collaborate with cross-functional teams to design, implement, and deploy new features
- Participate in code reviews and ensure high code quality
- Troubleshoot and debug complex technical problems
- Stay up-to-date with the latest advancements in Go and related technologies
About the Role:
As a part of the Tech team, you will be involved in solving technical challenges, working with modern databases and systems, design and architecture of components/services, and handling highly critical secure data.
Responsibilities:
- You’ll be working on our P2P and cryptocurrency exchange platforms to build more features around it.
- Understand the way current users interact with the chatbot and how to optimize the existing content.
- WazirX being a financial product, you’ll be involved in building tools to make our user’s data more secure.
- You will be working on blockchain technologies
- You will help maintain code quality and organization.
- We expect you to learn about new software technologies, and proactively look for ways to make WazirX better.
You'll be a good fit if:
- You’ve got 3 to 6 years of development experience.
- You’re an expert in writing background tasks, test-driven development.
- You’re an expert in Golang
- You’re good at understanding and implementing multithreaded environments to improve the speed of the execution
- You enjoy collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
- You’re committed to quality, and your code solves more problems than it creates ;)
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
F5 is looking for a Sr. Software Engineer with experience in building FIPS-ready cryptography-based security solutions at scale. You will participate in the design and implementation of F5's Edge Computing platform that is used to deploy global, scalable and secure applications. Your work includes, but not limited to, design, implementation, deployment, operational management, and debugging of security services of F5's platform.
Responsibilities:
- Collaborate with architects and business leaders to understand the requirements for providing FIPS-ready cryptography-based security services for F5's platform, design solutions, and implement them
- You will develop software for identity related security foundations of Volterra platform - Identity Management, Key Management, Secure Bootstrapping, Authentication, Authorization, Secrets Management, etc.
- You will perform necessary compliance tasks – including building and executing the test suites – required for making systems and libraries ready for FIPS
- You will vet various open source and closed source technologies, components, libraries, tools etc. and help build a highly available, highly scalable and easily manageable system
- Demonstrate technical leadership in multiple domain areas, providing mentorship to other team members
- Demonstrate leadership by taking responsibility and ownership of software components and deliver a complete product satisfying functional, scale, performance and manageability requirements
- Hands-on coding in multiple languages while considering performance, scalability, maintainability, and flexibility
Minimum Qualifications:
- BS/MS degree in Computer Science or equivalent with 6+ years of software engineering and development experience
- Hands on experience with multiple computer programming languages such as Golang (must), C++, Python, Java
- Hands-on experience with FIPS 140-2 and CMVP
- Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases
- Good understanding of complexities and security challenges in large-scale distributed systems
- Good understanding of security concepts like IPSec/TLS, PKI, SAML/OAuth, Key management, etc.
- Experience with Cloud Computing platforms (e.g. Amazon AWS, Microsoft Azure, Google Compute etc.) is a plus
- Working knowledge of Virtualization technologies like KVM, Docker etc.
- Working knowledge of Cloud orchestration systems such as Kubernetes, Openstack etc.
- Excellent written and verbal communication skills
- Strong interpersonal, team building, and mentoring skills
Role- Software Development Engineer-2
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
- You write high quality, maintainable, and robust code, often in Java or C++ or C#
- You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
- You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
- Roles & Responsibilities
- You solve problems at their root, stepping back to understand the broader context.
- You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
- You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
- You recognize and use design patterns to solve business problems.
- You understand how operating systems work, perform and scale.
- You continually align your work with Amazon’s business objectives and seek to deliver business value.
- You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
- You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
- You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
- Bachelors or Masters in Computer Science or relevant technical field.
- Experience in software development and full product life-cycle.
- Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
- Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
- Proficiency in SQL and data modeling.
About Amazon.com
“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos
Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.
Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.
We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
Experience: 5+ Years
An Architect is a hands-on, talented, innovative, and practical individual with functional experience to design, implement and support the delivery of core products and product components.
- Capable of working under minimal direction and exercising considerable latitude, they will provide technical expertise in developing solutions to complex software engineering problems, which require frequent use of ingenuity and creativity.
- Experienced in designing application framework solutions, performing architectural analysis, and identifying issues and provide solutions for the business problems.
- Sound functional knowledge of application architecture service architecture, code modularity, data synchronisation, customisable workflow management, partner application integration and API developer frameworks.
- Responsibilities:
- Lead the design and development of new architecture and major functional upgrades for the most advanced capabilities
- Provide technical guidance and mentorship to engineers, designers, and developers.
- Engage cross-organizational teams such as Product Management, Integrations, Services, Support, and Operations, to ensure the success of overall software development, implementation, and deployment.
- Requirements:
Ideal candidate should have
- 7+ years of system implementation experience
- Experience with any of the following languages like Java / Nodejs / ROR / Python
- Expertise in micro service / Data modelling / AWS / Messaging
- Expertise in building scalable & reliable systems
- Good Experience in working with technologies like AWS, Redis,
- Experience in messaging systems like SQS/RabbitMQ
- Good knowledge of caching, Databases, distributed systems.
- Strong problem solving and analytical skills
- Good experience with Devops
Capable of working under minimal direction and exercising considerable latitude, they will provide technical expertise in developing solutions to complex software engineering problems, which require
frequent use of ingenuity and creativity.
Experienced in designing application framework solutions, performing architectural analysis, and identifying issues and provide solutions for the business problems.
Sound functional knowledge of application architecture service architecture, code modularity, data synchronisation, customisable workflow management, partner application integration and API
developer frameworks.
Responsibilities:
Lead the design and development of new architecture and major functional upgrades for the most advanced capabilities
Provide technical guidance and mentorship to engineers, designers, and developers.
Engage cross-organizational teams such as Product Management, Integrations, Services, Support, and Operations, to ensure the success of overall software development, implementation, and
deployment.
Requirements:
Ideal candidate should have
7+ years of system implementation experience
Experience with any of the following languages like Java / Nodejs / ROR / Python
Expertise in micro service / Data modelling / AWS / Messaging
Expertise in building scalable & reliable systems
Good Experience in working with technologies like AWS, Redis,
Experience in messaging systems like SQS/RabbitMQ
Good knowledge of caching, Databases, distributed systems.
Strong problem solving and analytical skills
Good experience with Devops
reach me
riya attherateof cielhr dot com
96 200 399 80











