Software Engineer II (Golang)

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: Senior Python Developer with AWS

Company: P99soft

Experience: 6+ years

Location: Hyderabad

Job Description:

P99soft, a leading technology company, is seeking a talented Senior Python Developer with expertise in AWS to join our dynamic team in Hyderabad. As a Senior Python Developer, you will play a key role in designing, implementing, and maintaining robust and scalable software solutions. If you have a passion for Python development and extensive experience with AWS technologies, we encourage you to apply and be a part of our innovative and collaborative work environment.

Responsibilities:

• Design, develop, test, and deploy high-performance and scalable Python applications.
• Collaborate with cross-functional teams to define and implement innovative solutions for the company's software needs.
• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Utilize your expertise in AWS services to architect and implement cloud-based solutions.
• Troubleshoot and debug issues, ensuring the overall quality and performance of the software.
• Stay updated on industry trends and best practices to continuously improve software development processes.
• 
  

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Senior Python Developer with a minimum of 6 years of hands-on development experience.
• Strong proficiency in Python and experience with popular frameworks such as Django or Flask.
• In-depth knowledge of AWS services and experience with cloud-based architecture.
• Solid understanding of software development principles, design patterns, and best practices.
• Experience with database systems, both SQL and NoSQL.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.

How to Apply:

If you have a passion for backend development, possess the required experience, and are excited about contributing to innovative projects, we invite you to apply. Please submit your resume, cover letter, and any relevant portfolio or project samples to Anusha Kalidindi/Sravani Chiruvolu

P99soft is an equal opportunity employer, dedicated to fostering diversity and creating an inclusive workplace for all employees.

About the Role

We are looking for an experienced Senior Backend Developer to design and build scalable, secure, and high-performance backend systems. The ideal candidate will have deep expertise in Python/Django, microservices architecture, and cloud technologies, along with strong problem-solving skills and leadership capabilities.

Key Responsibilities

•Design and develop backend services using Django and Python.

•Architect and implement microservices-based solutions for scalability and maintainability.

•Work with PostgreSQL and Redis for efficient data storage and caching.

•Build and maintain RESTful APIs and ensure robust API design principles.

•Implement system design best practices for high availability and fault tolerance.

•Containerize applications using Docker and manage deployments with Kubernetes.

•Integrate with cloud platforms (AWS/Azure) for hosting and infrastructure management.

•Apply security best practices to protect data and application integrity.

•Collaborate with frontend, QA, and DevOps teams for seamless delivery.

•Mentor junior developers and conduct code reviews to maintain quality standards.

Required Skills & Expertise

•Django/Python – Advanced proficiency in backend development.

•Microservices Architecture – Strong understanding of distributed systems.

•PostgreSQL & Redis – Expertise in relational and in-memory databases.

•Docker/Kubernetes – Hands-on experience with containerization and orchestration.

•API Design & System Design – Ability to design scalable and secure systems.

•Cloud (AWS/Azure) – Practical experience with cloud services and deployments.

•Security Best Practices – Knowledge of authentication, authorization, and data protection.

Preferred Qualifications

•Experience with CI/CD pipelines and DevOps practices.

•Familiarity with message queues (e.g., RabbitMQ, Kafka).

•Exposure to monitoring tools (Prometheus, Grafana).

What We Offer

•Competitive salary and benefits.

•Opportunity to work on cutting-edge backend technologies.

•Collaborative and growth-oriented work environment.

Bachelor’s degree in computer science or other technical/scientific discipline

● Solid experience with cloud environments like Azure, GCP, AWS 

● Proficient with CI/CD tools such as CircleCI, Travis, Jenkins, Ansible, Terraform, Puppet, Chef 

● Strong expertise in Serverless architecture, Kubernetes cluster, and service mesh. 

● Strong hands-on experience with monitoring tools such as Prometheus 

● Ability to program with one or more high-level languages, such as Python, Java, Ruby, and JavaScript 

● Familiar with Git 

● Experience with performance monitoring and optimization. Ideally worked on large scale e-commerce projects 

Backend Web Developer

 Our client operates from 18 cities across 13 countries. Our investment personnel manage US $247 billion across a wide range of global, regional and country-specific strategies - both traditional and alternative - in listed equity and fixed income. At Lazard Asset Management, we pride ourselves in balancing the feel of a small firm with the scale of a large global organization. Our entrepreneurial culture and flat management structure foster an environment in which good ideas can take flight, no matter where they come from.

Our client is looking for an innovative software engineer to join our IT department.  This individual will be working on the systems that support the global sales and marketing organization.  This role will be responsible for building and supporting the backend services and API’s used in all of the applications. This role requires a highly motivated, organized and experienced developer with pride of ownership reflected through clean design, code quality and a disciplined software development approach.

Key Responsibilities

• Design and implement middle-tier web applications, and RESTful services.
• Collaborate with front-end developers to integrate user-facing elements with server side logic.
• Support existing software with quick troubleshooting and issue resolution.
• Be part of an empowered team following agile methodologies.

Desired Candidate Profile:

• 5+ year’s applications development experience with full-stack development and agile frameworks.
• Strong understanding of object-oriented programming and service-oriented design.
• Work effectively both as a contributing team member and independently.
• Strong verbal and written communication skills.
• Creative problem solving with the ability to present multiple solutions and potential side effects.
• Fast paced programming mentality with quick turnaround.

Required Skills:

• Expertise with API creation and RESTful services.
• Expertise developing backend server components using Python, NodeJS, C#
• Expertise building micro service architecture.
• Experiencebuilding and supporting websites using CMS systems (Tridion, Drupal, AEM)
• Experience and proficiency with relational databases (SQL Server, Oracle, Sybase).
• Experience and proficiency with NoSQL databases (MongoDB, Cassandra).

Desired Skills:

• Experience running services on container technologies like Kubernetes and Docker.
• Amazon AWS or equivalent cloud architecture experience with a major cloud provider.
• Experience with Jira.
• Experience building CI/CD pipelines using Jenkins or TeamCity.
• Experience with CRM systems especially Salesforce is a plus.

·        Should have 5 to 6 years of work experience as a Python Developer

·        Expertise in at least one popular Python framework (like Django, Flask or Pyramid)

·        Knowledge of object-relational mapping (ORM)

·        Familiarity with front-end technologies (like JavaScript and HTML5)

·        Should have completed B.E/B.Tech. /MCA in any field.

·        Good problem-solving skills and Team spirit.

·        Writing scalable code using Python programming language.

·        Testing and debugging applications.

·        Developing back-end components.

·        Integrating user-facing elements using server-side logic.

·        Assessing and prioritizing client feature requests.

·        Integrating data storage solutions.

• Design and develop innovative, company impacting products and services to support infrastructure operations
• Design, develop and implement object-oriented PHP applications from prototype through implementation
• Integrate open source and commercial enterprise applications into an exposed API and web-based portal
• Create highly scalable and performant REST/SOAP web services
• Keep focus on end users and goals all through the development process
• Work closely with product management and stakeholders to ensure applications meet needs and expectations
• Adhere to the highest levels of technical discipline and excellence to set a standard for the larger development organization

Requirements

• Bachelor's Degree in Computer Science, related field, or comparable extra work experience
• Solid experience with SQL and relation databases
• Solid experience with Object Oriented Design and Development
• Experience Developing API Interfaces
• Experience with version control systems, preferably Git

Beneficial Skills

• Experience with non-relational data stores such as ZooKeeper or Memcache