Golang Engineer

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.

Required Skills: CI/CD Pipeline, Data Structures, Microservices, Determining overall architectural principles, frameworks and standards, Cloud expertise (AWS, GCP, or Azure), Distributed Systems

Criteria:

• Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.
• Candidate must be from a product-based organization with a startup mindset
• Must be strong in one core backend language: Node.js, Go, Java, or Python.
• Deep understanding of distributed systems, caching, high availability, and microservices architecture.
• Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.
• Strong command over system design, data structures, performance tuning, and scalable architecture
• Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

Description

What This Role Is All About

We’re looking for a Backend Tech Lead who’s equally obsessed with architecture decisions and clean code, someone who can zoom out to design systems and zoom in to fix that one weird memory leak. You’ll lead a small but sharp team, drive the backend roadmap, and make sure our systems stay fast, lean, and battle-tested.

What You’ll Own

● Architect backend systems that handle India-scale traffic without breaking a sweat.

● Build and evolve microservices, APIs, and internal platforms that our entire app depends on.

● Guide, mentor, and uplevel a team of backend engineers—be the go-to technical brain.

● Partner with Product, Data, and Infra to ship features that are reliable and delightful.

● Set high engineering standards—clean architecture, performance, automation, and testing.

● Lead discussions on system design, performance tuning, and infra choices.

● Keep an eye on production like a hawk: metrics, monitoring, logs, uptime.

● Identify gaps proactively and push for improvements instead of waiting for fires.

What Makes You a Great Fit

● 6+ years of backend experience; 1–2 years leading engineers or owning major systems.

● Strong in one core language (Node.js / Go / Java / Python) — pick your sword.

● Deep understanding of distributed systems, caching, high-availability, and microservices.

● Hands-on with AWS/GCP, Docker, Kubernetes, CI/CD pipelines.

● You think data structures and system design are not interviews — they’re daily tools.

● You write code that future-you won’t hate.

● Strong communication and a let’s figure this out attitude.

Bonus Points If You Have

● Built or scaled consumer apps with millions of DAUs.

● Experimented with event-driven architecture, streaming systems, or real-time pipelines.

● Love startups and don’t mind wearing multiple hats.

● Experience on logging/monitoring tools like Grafana, Prometheus, ELK, OpenTelemetry.

Why company Might Be Your Best Move

● Work on products used by real people every single day.

● Ownership from day one—your decisions will shape our core architecture.

● No unnecessary hierarchy; direct access to founders and senior leadership.

● A team that cares about quality, speed, and impact in equal measure.

● Build for Bharat — complex constraints, huge scale, real impact.

EDUCATION & EXPERIENCE :

- A professional degree in Computer Science from a reputable institution, backed by a consistent academic record.

- A knack for problem-solving, data structures, and algorithms.

- Proficiency in ElasticSearch.

- 6+ years of hands-on development experience, primarily in building products for large enterprises.

- Exceptional communication skills.

- Mastery in Java programming; familiarity with Python is a plus.- Experience with Spring Boot.

- Practical knowledge of one or more cloud-based technologies (e.g., ElasticSearch, Storm, Hazelcast, MongoDB, Ceph, Kafka) is highly desirable.

- Expertise in building concurrent and/or parallelized, highly performant scalable applications.

- A track record of identifying and addressing complex issues in scalable deployments.

- Exposure to Service-Oriented Architecture (SOA) and Test-Driven Development (TDD) is an added advantage.

ROLES & RESPONSIBILITIES :

- Dive deep into technical aspects (Analysis, Design & Implementation) as required.

- Take complete ownership of features within the product.

- Engage in debates and detailed discussions about functional and non-functional requirements with our Product Management team.

- Collaborate with the team to design solutions, seeking stakeholder input before implementation.

- Create essential artifacts such as functional specifications and detailed designs for your assigned features.

- Implement intricate features with an unwavering commitment to quality, following the Test- Driven Development (TDD) process.

- Maintain open lines of communication, promptly reporting risks and progress to your supervising manager.

- Share your expertise and mentor team members.

- Provide support by troubleshooting and creating Root Cause Analysis (RCA) for production issues, subsequently working on short-term and long-term solutions.

• 1-5 years of experience in Java Development.
• Very good with DSA - Java programming.
• Hands-on experience in working with REST APIs & Web Services.
• Good Database design skills - SQL
• Write well-designed, testable, efficient code.
• Contribute to all phases of the development lifecycle.

Work Location : Bangalore

Work mode : Work from office.

Company Description

Mobile Programming LLC was started with the mission to provide “Economic as well as Efficient” software solutions. We firmly believe in the credibility and scalability of Digital Transformation. Our services are focused on Mobility Solutions, Custom App Development, Cloud Solutions, IoT, AR/VR, Metaverse, Blockchain, Artificial Intelligence & Machine Learning, Chatbot, Predictive Analytics & Big Data Solutions, and several other trending as well as emerging technologies. At its core, Mobile Programming LLC is all about developing solutions that help clients accelerate their business processes, achieve optimum productivity, and mitigate risks.

Role Description

This is a full-time on-site role for a Full Stack Developer located in Bengaluru. As a Java Developer, you will be responsible for building and maintaining web applications, ensuring the responsiveness of applications, and working alongside cross-functional teams to develop and implement user-friendly features. You will collaborate with the development team, contribute to the overall architecture of the application, and ensure high-quality code and documentation.

Qualifications

• Proven work experience as Java Developer
• Experience in 4 yrs expin back-end development

Qualifications

• 4+ years of professional software development experience

• 4+ years of object-oriented Java / J2EE development

• Full SDLC experience (requirements gathering, architecture, development, QA, etc.…)

• Experience with Spring (MVC, IOP/DI, REST, Security) & Hibernate/Spring

• Experience with SOAP / REST web services

• Knowledge of SQL

• Knowledge of No SQL concepts, understanding of Solr, Redis and Mongo DB is desirable

• Understanding concepts of CDN & Content Management

• Must have worked on any one messaging solutions

• Bonus Points for micro service design and development experience

• Bonus points for any mobile development experience

• Used Agile methodology

• Experience leading or working with cross geography teams

• Bonus Points for experience working on Unix, shell scripting & Build Systems

• Experience in performance optimization is an added advantage

POSITION

• You will be actively involved during the entire technology development lifecycle. Responsibilities will include all aspects from design, coding, testing, customer feedback cycle changes and support.

• Primary role in software development with object-oriented Java

• The customized solutions that you will be architecting and developing will also require knowledge and experience with spring / Hibernate, SOAP / REST, and SQL.

• Ability to learn new technologies quickly and willingness to read and digest large existing source code and take ownership on complex component or subsystem to drive improvements and re-architecture

• Work with a team of amazing developers and designers involved in the design and development of global platforms

• Invent and prototype new features, build, test and ship them to customers as SaaS, cloud based or hosted product platforms

• Drive the implementation of new technologies which improve our ability to build great customers products. • Participate in a fun, open learning environment with great benefits and smart talented folks that represent among the best globally.

QUALIFICATION

• A Bachelor’s degree in Computer Science (or equivalent experience)

• M-Tech or advanced degree a plus

• Hackathon participation and accolades are a plus
Job Role

                                       
Quinbay

Quinbay is an upstart digital platforms and products company with a core focus on disrupting traditional markets and business models with the strength of our innovation driven digital value. We harness the power of our open innovation culture, our unique talent selection approach, the skills and expertise of our people across various industries, domains and technologies and a unique blend of analytics driven strategies for creating future digital platforms.

OPPORTUNITIES: Pursue opportunities in and learning/growth interests in Mobile, product development, product management, Analytics, Machine learning, UI/UX design, DevOps, Automation, Drones, bots and Java / open-source development frameworks and methodologies – on a variety of domains like eCommerce, Logistics and fulfilment, Ecommerce and a whole lot other.
Opportunities to be part of fastest growing eCommerce platforms in exciting application areas like core commerce, supply chain, logistics and fulfilment, merchant, mobile commerce, analytics, automation and a lot more for the global markets positioned for Asia.

About Alore

Alore brings revenue velocity to businesses by being their dependable growth operating system.

For further information on what Alore can do for growing businesses, please visit http://alore.io">alore.io

Alore is based out of Singapore with an office at Bangalore.

Who should not apply for this job

• If you are looking for a 100% hike in your salary but can't commit to what value you will bring on the table
• If you never read books
• If you jump companies every 11-12 months
• If you are not comfortable working on Saturdays
• If you have less than 2 years of experience
• If you have more than 4 years of experience
• If you have never worked in a product-led company

CTC:

8.5-10.5 LPA based on experience and on performance in the interview round (70% Fixed - 30% Variable Incentive based on delivery schedule) (We do ZERO deductions since the salary will be paid from Singapore)

At this position you will:

• Get solid experience with high-load distributed architecture using REST and Kafka services.
• Work with automated CI/CD processes, AWS cloud, and VoIP.
• Implement and support microservices based on Spring MVC, Camel, MySQL, Mongo, and Kafka.

Requirement

• At least 1 year of experience with Java Core, Java EE, Spring Core, Spring Boot.
• Not more than 3 years of experience in Java Core, Java EE, Spring Core, Spring Boot.
• Deep understanding of SQL database technologies.
• Experience with Scrum / Agile methodology.
• Willingness to learn and explore new technologies.
• Git: merge, rebase, cherry-pick should be fluent.
• Good level of English B1 or higher.

It would be a nice bonus to have:

• Experience with distributed architecture.

• Hands-on experience with Kafka, MongoDB, and Apache Camel.

• Experience with cloud infrastructure (AWS, Google Cloud, Azure, Heroku, etc.).

• Experience with client-side development (we use Angular8 for website).

• A degree in computer science.