
Company: Altimetrik
MUST HAVE - SKILLS & EXPERIENCE:
- Around 4 +years of overall software development experience.
- Around 3 years of expertise in Go Language (aka GoLang) and SQL, with skills in data retrieval and manipulation.
- 3+ years of experience with JavaScript, including expertise in leveraging libraries like jQuery and Bootstrap, and proficiency in customizing CSS for styling and layout management.
- Experience in developing and managing Application Programming Interfaces (APIs).
- Development experience in a Linux/Unix environment, coupled with proficiency in bash scripting and Linux commands, provides a significant edge.
- Willingness to learn Perl as needed to migrate or support existing Perl applications.
- Currently a hands-on software developer, actively writing code and contributing to software development projects.
- Experience with tools and pipelines such as Rally, GitHub, Jenkins, Jira, etc. is desirable.
- Excellent troubleshooting, debugging, multi-tasking, analytical, and problem-solving skills are essential.
- Self-starter with good communication skills, fluent in English (written and verbal).
- Ability to quickly learn new technologies or skills is a must.
- Expertise with the RedHat OpenShift Container Platform.
- Expertise with Kubernetes.
- Expertise in IaC tools: Terraform, Ansible, Go
- Experience in Infrastructure provisioning, monitoring and Ops
- Expertise working with Docker or similar container technologies.
Location : Chennai
Years of Experience : 4 to 8 years +

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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.
Job Title: Software Developer
Location: Remote
About Us: CipherSonic Labs is a cutting-edge technology company specializing in data security and privacy solutions for enterprises processing sensitive data in the cloud. We develop high-performance cryptographic software and hardware acceleration techniques to enable secure computing. Our team is looking for talented individuals to contribute to innovative projects in secure computing and high-performance software development.
Job Description: We are seeking a Software Developer to assist in the development of high-performance software solutions. This role will involve working on low-level programming, optimizing cryptographic algorithms, and improving performance for security-critical applications. The ideal candidate will have a passion for systems programming, algorithm optimization, and working in a high-performance computing environment.
Key Responsibilities:
· Develop and optimize software using C/C++ for high-performance computing applications.
· Work on cryptographic algorithm implementations and performance tuning.
· Optimize memory management, threading, and parallel computing techniques.
· Debug, profile, and test software for performance and reliability.
· Write clean, efficient, and well-documented code.
Qualifications:
· Completed a B.S. or higher degree in Computer Science, Computer Engineering.
· Strong programming skills in C and C++.
· Familiarity with Linux-based development environments.
· Basic understanding of cryptographic algorithms and security principles is a plus.
· Experience with AWS Lambda, EC2, S3, DynamoDB, API Gateway, Containerization (like Docker, Kubernetes) is a plus.
· Knowledge of other programming languages such as Python, Rust, or Go is a plus.
· Strong problem-solving skills and attention to detail.
· Ability to work independently and collaboratively in a fast-paced startup environment.
What You’ll Gain:
· Hands-on experience in systems programming, cryptography, and high-performance computing.
· Opportunities to work on real-world security and privacy-focused projects.
· Mentorship from experienced software engineers and researchers.
· Exposure to cutting-edge cryptographic acceleration and secure computing techniques.
· Potential for future full-time employment based on performance.
Job Summary
- Expand the product to suit the needs of all kinds of travellers. From family travellers to hardcore backpackers and from free independent travellers to those who need a more guided approach to planning their trip.
- Launch across more countries. This means adding support for more geographies, things to do, weather, currencies and payments, transport and accommodation.
- Scale it up to serve millions of users a year, from across the globe. We are seeing decent growth, but it is time to up the game.
Responsibilities and Duties
How you'll add value:
- Own the architecture and design decisions that go into shaping our backend microservices
- Build and ship robust features.
- Work with web and mobile engineers to design and build APIs to power the traveler and influencer applications.
- Help us scale out to multiple geographies and serve millions of travelers
Required Experience, Skills and Qualifications
- An innate desire to grow. Both personally and with respect to the value you add to other people's lives.
- 4+ years industry experience working with golang/Django
- Sound understanding of CS fundamentals. We don't expect you to remember every algorithm by heart. But if you know how to find the most appropriate one for any given problem, let's talk.
- Personal projects that show an aptitude for technical excellence and product sense.
- Interest in contributing to open source projects
- Bonus points if you have an interest in the philosophy behind technologies. - You are intrigued by why did people develop certain technologies the way they did.
Benefits
- Work with a bunch of amazing people on a challenging problem.
- 1 backpacking trip each year to travel outside India. We don't allow you to travel, we WANT you to travel.
- Stock.
- We don't mind work from home/cafe/some random city in the world as long as your work and your team is not disrupted.
- We don't have a leave policy (there is a guideline for legal reasons) but you are free to take as much personal time as you need as long as you get your job done.
Job Type: Full-time
Salary: ₹2,000,000.00 to ₹3,000,000.00 /year
- Solid experience in RoR, Golang, NodeJS or Python. Good to have exposure to ML.
- Should have experience in cloud computing
- Has an ability to quickly learn and contribute in multiple codebase
- Overcomes roadblocks and requires minimal oversight
- Takes initiatives to fix issues/tech debts before assigned to him/her
- Able to deep dive into codebase and advise QA of possible regression impact
- Communicates tech decisions through design docs and tech talks
- Has delivered projects with end-to-end accountability
- Keeps track of industry trends and introduces right tech/tools for a given job
- Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms
About Wise
Wise is digital infrastructure for online education. Oversimplified as ‘Shopify for Tutors’ i.e., an easy to use tool for tutors to start teaching online. We have grown to 2mn users in 12 months and have much to do. We are backed by an incredible set of investors and individuals who have built product you already use. We have a small but rockstar team, cheap equity, smart money, opportunity to capture a huge market ($60bn) and a chance to make an impact while doing so.
What we need
We need you, if you are a senior software engineer with 4+ years of experience in building robust scalable systems. Work would involve building things quickly and adapting based on market feedback while ensuring the security and quality of the codebase. If you love coding and building things excites you, we would like to talk to you.
What you will need (Skills)
- Experience building microservices and distributed systems, RESTful APIs, user interfaces
- Knowledge and will of writing unit, integration tests is a must. TDD is a plus
- Preferably a polyglot: Strong command Ruby/Golang/Java/Python
- Some exposure to infra: Deployments, CI/CD setup, security. AWS exposure is good to have
- Strong database concepts. Experience with MongoDB is a plus
What you will do
- Feature analysis, hands on development, code reviews, deployment & rollouts
- Passionately maintain coding practices, quality & good design standards
- Design and develop highly scalable, available, secure and fault tolerant systems
- Actively contribute in assessing & improving/optimizing security & infrastructure
Great to have
- Sense of ownership
- Developers who can talk product and strategy
- Experience in building scalable consumer products
- Strong opinions, loosely held
Good to have
- Interest in mentorship
- Good written communication skills
- Bangalore love
Probably not ideal if
- If you have always been right about stuff in life
- No flexibility around working hours (this doesn’t mean we work long hours but if our systems get attacked in the middle of the night, we would need you to HODORR!)
Definitely get in touch if you
- Would have started the exact same company but willing to build it together with a great team
- Find our current product unbearably slow or inadequate
- Think this company isn’t going to work as it is right now
Roles & Responsibilities:
- Excellent problem-solving & analytical skills & OO principles
- Solid understanding of the data structure & algorithms.
- Expert knowledge with any one of the Javascript Framework such as Node Js.
- Any additional experience with Java or python, GoLang would be nice to have.
- Experience working with SQL database like MySQL or PostgreSQL
- Experience working with NoSQL databases like mongoDB, couchbase would be nice to have
- Working experience with cache like redis, mem cached or elasticache would be nice to have
- Working experience with Message Queues would be a great advantage.
- Experience with deployment & AWS would be nice to have
- Ability to do in depth analysis or problem statement or use case & Build robust & scalable architecture
- Logging & monitoring of the production system in real time
- Lead a team of 2-4 team members & make sure team practices defined coding practices across the project.
● We believe that the role of an engineer at a typical product company in India has to evolve from just working in a request response mode to something more involved.
● Typically an engineer has very little to no connection with the product, its users, overall success criteria or long term vision of the product that he/she is working on.
● The system is not setup to encourage it. Engineers are evaluated on their tech prowess and very little attention is given to other aspects of being a successful engineer.
● We don’t hold appraisals as we don’t believe that evaluation of work and feedback is a constant affair rather than every 6 or 12 months. Besides there is no better testament of your abilities than the growth of the product.
● We don’t have a concept of hierarchy and hence we don’t have promotions. All we have in Udaan are Software Engineers.
Skills & Knowledge:
○ 4-15 years of experience
○ Sound knowledge in Programming,
○ High Ownership & Impact oriented
○ Creative thinker & Implementation
○ Highly Customer Obsessed & Always Insisting on Highest Standards
Backend Engineer (GO Developer)
Remote Working | Engineering Team | Full-time
Candidates from Product development background only will be taken ahead.
The Impact you will create in the Job:
Build campaign generation services which can send app notifications at a speed of 10 million a minute.
Dashboards to show Real time key performance indicators to clients.
Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds.
Leverage the power of Kubernetes to maintain clusters running inside VPC's across the world.
Building highly available & horizontally scalable platform services for ever growing data.
Use cloud-based services like AWS Lambda for blazing fast throughput & auto scalability.
You will build backend services and APIs to create scalable engineering systems.
As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
Identify and improvise areas of improvement through data insights and research.
What we look for?
3-6 years experience in developing high scale internet applications/API based services.
Worked with GoLang as a primary language
Experience with High scale real time architectures
Experience with queueing systems like RabbitMQ, Kafka etc
Experience with Elasticsearch would be a plus
Having hands on experience with Kubernetes would be a plus.
Understanding of SMTP protocol would be a plus
Experience with MTA will be an added advantage.
Very strong analytic and problem-solving skills.
Enjoys working at solving challenges that come with developing real time high scale applications.
- Strong programming skills in Javascript/TypeScript, Python or Go.
- Hands-on experience in API development and frameworks such Express, Loopback, Hapi.
- Good Understanding of SQL and NoSQL database.
- Experience in test driven development. (writing unit test and API test).
- Understanding of basic cloud computing concepts and experience in using any of the major cloud service providers(AWS/GCP/Azure).
- Ability to build and deploy the application in a containerized environment.
- Understanding of application logging and monitoring systems like Prometheus or Kibana.
Qualification:
- B.E/B.Tech/M.E./M.Tech/M.S. from a reputed university with a good academic record.
- Curiosity to explore the cutting edge technologies and bake them in the products.
- Zeal and drive to take end to end ownership.
Job Description
- Develop p2p infrastructure systems to support blockchain interoperability
- Improve engineering standards, tooling, and processes
- Coding with concurrency, efficiency and scalability as primary motive
- Rigor on Unit testing, coverage and best practices
- Document systems, build runbooks, and automate those processes
- Being hands on by writing, testing, and deploying high-performance networking code.
Required qualifications
1+ years of experience in Golang, Strong knowledge of Go programming language, paradigms, constructs, and idioms, willingness to learn on the go, ability to write clean code, a strong sense of responsibility.
Tech Stack
Go, git, linux, bash, ability to work with Docker.
Nice to have
Experience developing in c++, cryptography and system software development experience,understanding of design patterns, understanding of operating systems, networks.











