Senior Software Engineer

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 Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What You Will Do:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What We Expect:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

Java Developer – Job Description  

Wissen Technology is now hiring a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.  We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team.  A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consultancy.  

Required Skills:  

• Exp. - 2 to 7 years.  

• Experience in Core Java and Spring Boot.  

• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.  

• Should have the ability to analyze, design, develop and test complex, low latency client facing applications. 

• Good development experience with RDBMS.  

• Good knowledge of multi-threading and high-performance server-side development.  

• Basic working knowledge of Unix/Linux.  

• Excellent problem solving and coding skills.  

• Strong interpersonal, communication and analytical skills.  

• Should have the ability to express their design ideas and thoughts.  

 About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.  

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.  

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.  

Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.  

We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. 

Key Responsibilities:

• Involve in the Design And Development Of Scalable Backend Applications Using Java (Spring Boot).
• Mentor And Guide A Team Of Developers To Ensure High-Quality Deliverables.
• Take Ownership Of Solution Architecture, Coding Standards, And Design Patterns.
• Develop And Manage Restful Apis And Integrate Third-Party Services.
• Collaborate With Front-End Teams, Qa, And Stakeholders To Align Technical Implementation With Business Goals.
• Oversee Deployments In Hybrid Cloud Environments In Coordination With Devops Teams.
• Conduct Code Reviews, Lead Design Discussions, And Manage Agile Development Processes (Scrum/Kanban).
• Monitor Application Performance And Drive Improvements Proactively.
• Troubleshoot And Resolve Complex Software Issues Across Systems And Services.

Required Skills:

• 6+ Years Of Professional Experience In Java Development.
• Strong Hands-On Expertise In Spring Boot And Microservices Architecture.
• Working Knowledge Of Node.Js And Javascript/Typescript.
• Experience With Rest Apis, Sql/Nosql Databases (Mysql, Postgresql, Mongodb).
• Familiar With Ci/Cd Pipelines, Git, And Modern Devops Practices.
• Proven Ability To Lead Distributed Teams And Manage Deliverables In A Remote/Hybrid Work Setup.
• Strong Communication, Leadership, And Problem-Solving Skills.

Software Developer

Roles and Responsibilities

• Apply knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it
• Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store
• We're looking for people who will naturally take ownership of data products and who can bring a project all the way from a fast prototype to production.

Desired Candidate Profile

• At Least 1-2 years of experience
• Strong coding experience in Python (knowledge of Javascripts is a plus)
• Strong knowledge of scraping frameworks in Python (Request, Beautiful Soup)
• Experience with SQL and NoSQL databases
• Knowledge in Version Control tools like GIT.
• Good understanding and hands-on with scheduling and managing tasks with cron.

Nice to have:

• Experience of having worked with elastic search
• Experience with multi-processing, multi-threading, and AWS/Azure is a plus
• Experience with web crawling is a plus
• Deploy server/related components to staging, live environments.
• Experience with cloud environments like AWS,etc as well as cloud solutions like Docker,Lambda, etc
• Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement

• Good experience in Javabackend/J2EE, Eclipse, Javascript, XML, Data Structures, Database 
• Should have good experience working in Springboot.
• Good experience in JSON / RESTful API / Web Services.
• Experience with Design Patterns.
• Experience in AWS and Queuing systems is an advantage
• Basic estimation experience
• Self starter and quick learner
• Should be able to work in a growing environment that is very dynamic and challenging
• Good oral and written communication skills
• Highly self motivated and directed
• Ability to work without a lot of supervision
• Experience in working in a team-oriented and collaborative environment.

We are looking for a Senior Microsoft SQL Developer to design, develop, test, plan, implement and maintain conceptual and logical database models.

For this role, you should know how to analyze system requirements and implement migration methods for existing data. Hands-on experience with SQL Server 2012 and above is also required. Ideally, you are familiar with database design, reviewing code, writing stored procedures, creating and modifying SQL agent jobs, making structural changes to tables and views.

Ultimately, you will develop database solutions to ensure project information is stored effectively and securely.

We’re a fast-growing company with clients in the United States, UK, and Australia. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030.

Working as Senior Microsoft SQL Developer at Navtech, you will:

1. Design conceptual and logical data models and flowcharts.
2. Improve system performance by conducting tests, troubleshooting, and integrating new elements.
3. Design and Build database systems of high availability and quality depending on each end user’s specialized role.
4. Help write and optimize in-application SQL statements.
5. Handle common database procedures such as upgrade, backup, recovery, migration, etc.
6. Ensure performance, security, and availability of databases.
7. Use high-speed transaction recovery techniques and backup data.
8. Provide proactive and reactive data management support and training to users.
9. Determine, enforce and document database policies, procedures, and standards.
10. Perform tests and evaluations regularly to ensure data security, privacy, and integrity.
11. Monitor database performance, implement changes, and apply new patches and versions when required.

1. 5+ years of experience in SQL Server Development with at least 1 year of Lead experience.
2. Advanced experience in database monitoring, troubleshooting, performance tuning, and high availability strategies for SQL Server 2016, SQL Server in Cloud (AWS RDS preferred).
3. Advanced skills in resolving database locking conflicts/blocking and resource utilization.
4. Ability to work with other developers and engineers to analyze database performance and identify problems in areas such as execution plans, index coverage, and SQL server statistics.
5. A thorough understanding of Performance Monitoring, Tuning, and Optimization, using native and third-party monitoring and troubleshooting tools.
6. Advanced knowledge of SQL Server Disaster Recovery (DR) options, Always On availability groups, and experience administering Windows Server, including Active Directory, Failover clustering, database partitioning, security, and encryption (a plus).
7. Experience supporting SSIS, SSRS, replication, database mirroring (a plus).
8. PowerShell scripting experience with the ability to write automated scripts and strong knowledge of system tables and DMV’s is required. (a plus).
9. Administering Microsoft SQL Server databases in a high transaction, 24x7 database environment (a plus).
10. Experience in Postgres, No-SQL databases (a plus).
11. MCSA SQL Server 2012/2016 , MCSE or MCDBA (a plus).
12. Should have excellent logical, analytical, and communication skills with client interaction experience.

Benefits

• Working with industry giants while following your passion for technology.
• Competitive pay package with additional bonus and benefits.
• Performance review and Appraisal Twice a year.
• Family Health Insurance cover for self and family.
• Work with US, UK, and Europe-based industry-renowned clients for exponential technical growth.
• Work with a culturally diverse team from different geographies