Unity Game Engineer / Developer

JobTitle : Mission Control Software Engineer – Java Backend

Experience : 4+ Years

Location : Bengaluru, Karnataka (On-site)

Employment Type : Full-time

Industry : Space Technology

🧠 Role Overview :

As a Mission Control Software Engineer – Java Backend, you will be a founding member of the Mission Control Software team. You will design and develop the backend core of a distributed, high-reliability system responsible for streaming, processing, and routing satellite data.

This role offers high ownership and the opportunity to directly influence system architecture as it evolves from a single-node deployment to a scalable multi-node system.

🛠️ Tech Stack :

Java 11+, gRPC, REST APIs, PostgreSQL, Docker, Linux, WebSockets, Git, CI/CD

⚙️ Key Responsibilities :

• Design, develop, and maintain backend services in Java (11+) for data ingestion, processing, and control workflows
• Build and enhance gRPC and REST APIs for internal and external system integrations
• Develop modular plugins and middleware for routing, persistence, and automation
• Work with PostgreSQL and other databases for structured and time-series data
• Collaborate with frontend teams to support real-time dashboards via WebSockets/event streaming
• Ensure system scalability, reliability, and observability through logging, metrics, and testing
• Contribute to containerized deployments (Docker) and CI/CD pipelines
• Write clean, maintainable, and well-documented code with strong test coverage

🧩 Required Skills & Experience :

• 4+ years of experience in backend or distributed systems development.
• Strong proficiency in Java (11+), including concurrency and networking concepts.
• Experience with frameworks like Spring Boot, Vert.x, or similar.
• Hands-on experience with gRPC and REST API design.
• Strong knowledge of SQL databases (PostgreSQL preferred) and schema design.
• Experience working in Linux environments, with Git and Docker.
• Familiarity with event-driven systems / messaging queues (Kafka, RabbitMQ, MQTT, etc.).
• Ability to design scalable architectures and write automated tests.

⭐ Good to Have :

• Experience with real-time systems, telemetry, IoT, or satellite systems
• Exposure to distributed systems / microservices / high-availability architectures
• Working knowledge of Python for scripting or integrations
• Experience with monitoring tools like Prometheus and Grafana
• Interest in hardware-software integrated systems

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.

• Experience in Spring Boot, Jenkins, Git, Hibernate, Kubernetes, and Docker
•  Experience in the development of scalable and extensible systems using Java
•  Proficiency in Database technology such as MySQL, Oracle, and MongoDB
• Routines Sync & Async
• Solid and fluent understanding of algorithms and data structures
• Excellent software design, problem-solving and debugging skills
• Demonstrated high ownership in previous projects
• Excellent Communication Skills"

Position: Dot Net Developer

Job Title: Junior Software Engineer

Experience: 1 to 2 Years

Key Skills:

• Programming Languages: C# or VB.NET
• Server-Side Technologies: ASP.NET / MVC
• Front-End Technologies: Html5, ES5/ES6/ JavaScript, CSS, jQuery, Bootstrap, Ajax, Web Sockets
• Database: SQL Server

Knowledge on below concepts/technologies is an added advantage

            - Cloud Platforms: Azure / Google

            - NodeJS, Mongo DB

            - Redis, RabitMQ, MQTT, Kafka

            - Concept of Continuous Integration / Continuous Deployment

Key Deliverables: Writing codes as per the requirement.

• Works towards developing Stable & Efficient Applications for
• Responsible for developing Applications which are Stable, Efficient and if required cross   
• Responsible to create Native Applications for Android to achieve best performance.
• Responsible for understanding best UI Practices
• Responsible for creating Application UI utilizing latest Google UI Guide lines.
• Qualification: B.E. / B.Tech / M.C.A. in Computer Sciences.
• Should have Experience of at least one production environment Application in Google Play Store. GIT, Agile Frameworks, Jenkins
• Must have Java, Android, C, and C++.

HBOX is a US Based Digital Health Company, Enabling Primary Care Providers (PCP) to

capture true Virtual Care Opportunities beyond Telehealth. We enable PCP to

provide Proactive and Continuous Care and add new Recurring monthly revenue

streams without any upfront cost. With our unique distribution and business

model, we are seeing fast acceptance and great adaption with our target

customers. We have built unique and Industry's first Integrated

Hardware, Cloud & AI Technologies based Virtual care Platform for PCP

Market. We are US focused Post revenue company with customers in 7 US States

and growing extremely fast.

We want a techie at heart. Someone who is happy and curious to work on all aspects of software development. Reporting directly to the CTO, you will be responsible for feature design, development, and continuously optimizing our tech stack.

We are looking for an experienced software engineer with at least 5 years of experience in a startup or product environment. Ideally you have been involved in all aspects of software development from requirements gathering to design, development, deployment and post-release support. We are looking for all-round technical maturity. Our tech stack is Angular, Spring boot and Django/Python.

Key Skills

Java SpringBoot, PostgreSQL/MySQL, Git

AWS, REST api design, Experience integrating with external APIs

Good applied understanding of Object Oriented Programming

Good database modeling and SQL knowledge.

Anticipate how code will perform under production conditions

Understand the performance characteristics of commonly used data structures (maps, lists etc). (Optional) Experience with UI frameworks like: AngularJS/React is a big plus.

Responsibilities and Duties

Build out features across the stack: backend, API design and integration, database optimization, microservices, plugins, queues etc

Fix bugs and write automated tests

Maintain and upgrade our Tech Stack

Translate requirements to design and write/present articulate software design.