Ruby
Ruby on Rails (ROR)
PostgreSQL
Amazon Web Services (AWS)60 Decibels is a tech-powered impact measurement company that makes it easy to listen to the people who matter most. We've been in business as an independent entity since early 2019, when we spun out of the global Impact Investor Acumen.
We believe that the best way to understand social impact is by talking to the people experiencing that impact. It sounds obvious when you say it, but that is not the typical practice for many impact investors, corporations and foundations working to create social change.
We collect social impact data directly from beneficiaries (customers / employees / suppliers) using our network of 1000+ trained research assistants in 75+ countries. We do it quickly and without the fuss typically associated with measuring social impact. Our research assistants speak directly to customers to understand their lived experience; and our team turns all this data into benchmarked social performance reports, with accompanying insights, to help our clients demonstrate and improve social performance.
By making impact measurement simple, scalable, and comparable, we not only enable organizations to improve their products and services; we also help transform what it means to credibly measure impact, ensuring that the voices of those who matter most are always part of the story.
About the role:
You’ll be an early engineer in a newly formed engineering team. This is a unique opportunity for you to learn, build, demonstrate, and subsequently own diverse components of our tech stack and evolve as we scale our business. As a core engineer in a small team, the role demands a high degree of self-drive and ownership, on a path to achieving outsized impact.
Your Primary Responsibility Will Be:
To Advance Our Integrated Data Capture And Insights Platform (Ruby/React/PostgreSQL) And Associated Tooling (Python)
Specifically, your responsibilities will include:
- Work with a diverse multidisciplinary team across Engineering, Product & Operations, to translate product specs into clean, functional, production-ready code.
- Participate actively in defining of the systems architecture vision to better support our team’s needs
- Grow our technical capacity by mentoring other engineers and interviewing candidates
- Collaborate with team members to identify systems, practices & technologies that suit our needs the best
- Seek, learn, adopt and advocate industry best practices. Contribute towards the engineering culture
- Troubleshooting coding problems quickly and efficiently to ensure a productive workplace
About You: First and foremost, you bring compassion and dedication to this work because it matters to you.
You are a pragmatic and product-driven engineer who is interested in solving user problems and delivering value while taking into account tradeoffs between Business and Tech. You have a bias towards action: you get your hands dirty and actively tackle problems in a way that leads to the best outcomes and brings teams together. You successfully balance flexibility and rigour, using informed judgment to make decisions. You model critical thinking and introspection, taking strategic risks and growing from mistakes. You are decisive and bold, have a growth mindset, are an excellent communicator, and know the value of being a part of an effective team
Minimum Qualification:
- At least 4+ years of experience in software engineering building SaaS platforms, products and APIs
- At least 1+ years in your current role as a senior engineer
- Strong proficiency in Ruby on Rails (primary) and Python (additional)
- Strong proficiency in data modelling, RDBMS (Postgres preferred) and NoSQL databases.
- Proficient in software design, modularity, testability and software quality
- Strong problem-solving and decision-making skills
Additional desired qualifications:
- Preferred prior experience in the following stack: Python, Ruby On Rails, React, Postgres, AWS
- Experience in working on natural language processing, and ML for text and audio.
- Fast self-learner, with aptitude and interest in learn new technologies, languages & frameworks
- Experience working on data-pipelines, and data transformation systems.
- Experience setting up, managing and ensuring best practices on public clouds like AWS, GCP, or Azure (we use AWS)
Working with 60 Decibels
We are a fun, international and highly-motivated team who believes that team members should have the opportunity to expand their skills and career in a supportive environment. We offer a competitive salary, the opportunity to work flexibly and in a fun, supportive working environment. If this sounds like the role for you, get in touch!
60 Decibels is deeply committed to having a workplace that is inclusive and anti-discriminatory. We believe that our team must embody the compassion, listening, and sense of shared humanity that is so central to our goal as an organization. We are proud to be an Equal Opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation age, marital status, veteran status, or disability.
As a growing company, we are building towards a more universally accessible workplace for our employees. At this time, we do use some cloud-based technologies that are not compatible with screen readers and other assistive devices. We would be happy to discuss accessibility at 60 Decibels in greater depth during the recruitment process.
About our team and our culture: we are a fun and hardworking global team that is full of smart, mission-driven folks who combine an entrepreneurial spirit with a commitment to make a positive change in the world.
We consistently hear from our clients that the best thing about 60 Decibels is the people. To get a feel for our slightly nerdy, not-take-ourselves-too-seriously vibe, check out our monthly newsletter, The Volume.
Compensation: 60 Decibels offers a competitive salary and benefits package and the opportunity to work in a flexible, fun and supportive environment. The salary range will be adjusted according to costs of living in our country offices.
Extra Perks: We have an unlimited leave policy and 12 monthly recharge days, on the first Friday of each month. We are a globally distributed team and we give team members opportunities to cross-pollinate and visit our different offices.
Want to get to know us a little better?
> Sign up to receive The Volume, our monthly collection of things worth reading.
> Visit our website at 60decibels.com.
> Read about our team values here.
Shubham Vishwakarma
Full Stack Developer - Averlon
About 60 Decibels
About
60 Decibels is a global, tech-enabled impact measurement company that brings speed and scalability to social impact measurement and customer insights. We provide genuine benchmarks of impact performance, enabling organizations to understand impact relative to peers and set performance targets.
We have a network of 750+ researchers in 50+ countries, and have worked with more than 350 of the world’s leading impact investors, companies, foundations, corporations, NGOs, and public sector organizations.
Medium: https://60-decibels.medium.com/
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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.
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Clear Leadership Growth Path :
- A visible, direct path toward Director / VP of Engineering.
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______________________________________________
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon