Tech Lead- Backend

Tech Lead – Backend

Roles & Responsibilities

The company is building the operational backbone for how B2B enterprises run their business.

As a Tech Lead on the backend team, you will own the technical direction for a core domain of the platform—systems where correctness is non-negotiable, scale is unforgiving, and edge cases never stop coming. You will also mentor Senior Engineers in your pod.

This is a hands-on role: you will write code and design systems yourself day to day, pair on complex problems, review the work of engineers around you, and be the person who figures out what's actually broken before it becomes a fire.

You will report into the Engineering Manager / Head of Engineering. This is not a feature-factory role. You are here to raise the level of abstraction the team works at, not simply to ship tickets faster.

What You'll Own

• Design and build core platform services that handle complex business logic reliably at scale.
• Architect and own integrations with external enterprise systems, including their quirks, rate limits, and failure modes.
• Build APIs that enterprise engineering teams actually want to integrate with, not just ones that technically work.
• Own production debugging end to end: diagnose issues across services using logs, traces, and metrics, and make incidents boring rather than fires.
• Embed security and compliance thinking into your systems by default, not as a retrofit.
• Mentor Senior Backend Engineers in your pod: pair on hard problems, review their work, and help them grow as engineers.
• Set the architectural direction for your domain: choose frameworks, patterns, and abstractions that shape the platform for years.
• Lead design reviews and code reviews, and set the technical standard the rest of the team calibrates against.
• Hold a clear bar for quality, follow-through, and ownership across the engineers you work with, ensuring systems are healthy in production, not just merged.
• Partner with Product, Implementation, and Customer Success as the engineer who understands the system deeply enough to challenge requirements when necessary.
• Raise the technical bar for the engineers around you without slowing the team down.
• 
  

Ideal Candidate

1. Strong Tech Lead / Staff Engineer / Lead Engineer Profile

• Proven experience operating at Tech Lead, Staff Engineer, or Lead Engineer level.

1. Mandatory – Overall Experience

• Minimum 6+ years of overall Software Engineering / Development experience building production backend systems.

1. Mandatory – Tech Lead Ownership

• Proven Tech Lead ownership with experience setting technical direction, architecture, frameworks, or engineering standards used by other engineers.

1. Mandatory – Backend Development

• Strong hands-on backend development experience with deep proficiency in at least one backend programming language such as Python, Java, or Golang.

1. Mandatory – System Design & Distributed Systems

• Strong experience in system design and distributed systems, including architectural trade-offs, scalability, failure modes, reliability, and long-term maintainability.

1. Mandatory – APIs & Integrations

• Experience designing and building APIs, backend services, and external/enterprise integrations.
• Strong experience owning complex business logic and production systems.

1. Mandatory – Technical Leadership

• Formal technical leadership experience, including mentoring Senior Engineers, conducting design and code reviews, driving engineering quality, and leading technical decisions across a team.

1. Mandatory – Hands-on IC + Tech Lead

• Must be a hands-on Individual Contributor + Tech Lead, with approximately 70–80% hands-on coding/engineering involvement.
• Pure people-management profiles are not suitable.

1. Mandatory – Company Background

• Experience working in Product Companies, Startups, or B2B SaaS organizations.

1. Mandatory – Education

• CS degree or equivalent, such as B.Tech / B.E. / B.S.

1. Preferred – Technical Skills

• Experience with Kafka, NATS, RabbitMQ
• AWS
• Docker / Kubernetes
• CI/CD
• Observability and monitoring
• Security and compliance
• Multi-tenant systems
• Financial, billing, or enterprise platforms

We are seeking Senior Backend Engineers who can hack around multiple technologies and build highly scalable, low-latency, distributed systems with RESTful services. You will be responsible for developing new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Responsibilities—

• Writing clean, high-quality, high-performance, and maintainable code.
• Solving complex technical problems.
• Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code.
• Coordinating cross-functionally to ensure the project meets business objectives and compliance standards.
• Participating in and driving code reviews.
• Building robust, secure, and scalable microservices.
• Implementing RESTful services with a metric-driven API Gateway.
• Ensuring sub-second server response and will be responsible for implementing relational, document, key, object, or graph data stores, index stores and messaging stores as needed.
• Tracking defects and work with business owners and users to triage bugs and manage backlog
• Taking ownership to run and maintain Cloud infrastructure.
• Evaluating relevant technologies, influencing and driving architecture and design discussions.
• Architecting & designing the platform.
• Mentoring junior engineers helping them grow, performing code reviews, system monitoring & delegation.
• Writing documentation & create engineering processes.
• Working as an individual contributor.
• Helping drive KPIs with Product.
• Taking ownership of backend systems.
• Helping with unit tests & QA process.
• Scaling the engineering team.
• System scaling to hundreds of millions of users.
• Working with product managers and designs.

Requirements—

• Overall 5-10 years of experience in software development with a strong base in Golang/Java/Python and a degree in Computer Science(optional).
• Experience with Go, K8, Docker, AWS, and CI/CD.
• Experience with micro web frameworks – like Springboot, Gin/Mux.
• Experience in working with microservice architectures, Transactional systems, and Distributed environments.
• Exposure to building RESTful APIs with monitoring, fault tolerance, and metrics (with something like Hystrix).
• Experience with MySQL, and NoSQL (Cassandra, Redis, DynamoDB).
• Experience in server-side services using ElasticSearch and ESB - Camel, ActiveMQ.
• DevOps experience.
• Experience with AWS stack.
• Excellent attention to detail.
• Outstanding written and verbal communication skills.
• To be a self-starter who can work well with minimal to no guidance in a fluid environment.
• To be excited by challenges surrounding the development of highly scalable & distributed systems.
• To be agile and able to adapt quickly to changing requirements scope and priorities.
• To be experienced in working on massively large-scale data systems in production environments.
• To have led or mentored an engineering team before(optional).
• To have contributed to open-source projects.
• To have a strong drive & desire for continued growth.
• Proficiency in English.
• Experience with Web3(optional).

Benefits—

• Best-in-class salary: We hire strong talent and compensate accordingly.
• Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
• Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
• High-impact work: Build AI-first systems and products used at scale by global clients.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

● 4–7 years of backend development experience with Python or Golang.

● Strong expertise in designing, developing, and scaling microservices and distributed

systems.

● Solid understanding of concurrency, multi-threading, and performance optimization.

● Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached),

and messaging systems (Kafka, RabbitMQ, etc.).

● Hands-on experience with Linux development, Docker, and Kubernetes.

● Familiarity with cloud platforms (AWS/GCP/Azure) and related services.

● Strong debugging, profiling, and optimization skills for production-grade systems.

● Experience with AI-powered development tools is a strong plus; familiarity with

concepts like 'agentic coding' for workflow automation or 'context engineering' for

leveraging LLMs in system design is highly desirable.

● Ability to lead technical initiatives and mentor junior engineers.

About Orenda

Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.

At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.

About the role

We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.

This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:

Share of time

Leading the team ~30%

Solution design ~30%

Hands-on coding ~30%

Deployment and infrastructure~10%

What you'll work on

Solution design and architecture

• Turning business needs into technical designs that are practical to build and easy to maintain

• Making architecture decisions across services, integrations and data flows

• Estimating, scoping and planning new features with business and product stakeholders

• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers

Engineering and delivery

• Writing production code in Python and Node.js

• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal

• Continuously improving existing systems for performance, reliability and code quality

• Reviewing code and setting engineering standards for the team

Infrastructure and cloud

• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform

• Owning deployments and production stability together with the team

• Working with event-driven and messaging systems (NATS today, Kafka planned)

Team leadership

• Leading and mentoring a team of 3 to 5 engineers

• Planning and prioritising work, unblocking the team, and making sure things ship

• Building a culture of ownership, clear documentation and quality

What we're looking for

• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles

• Strong command of Python and Node.js

• Proven experience designing and building backend systems and microservices that run in production

• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)

• Solid working knowledge of PostgreSQL

• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ

• Experience leading or mentoring a small engineering team

• Comfort estimating effort, breaking down features and planning delivery

• Enough understanding of AI/ML systems to guide their solution design and integration

• Clear communication with both technical and non-technical stakeholders

Good to have

• Experience working at a fintech, lending or financial services company

• Hands-on experience with Kafka

• Experience leading an infrastructure upgrade or cloud migration

• Experience building or scaling CRM or partner-facing portal products

Why Join Us?

• Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
• Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
• Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
• Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
• Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
• Make a measurable impact: Build systems that improve operational efficiency and support business growth.

We are looking for a Backend Engineer (SDE 2) to build scalable backend systems for EV charging infrastructure and energy management platforms. The role focuses on developing high-performance APIs, event-driven systems, and data pipelines that process EV telemetry, charging sessions, and energy analytics.

What You'll Own

- Design and develop scalable backend services and RESTful/WebSocket APIs.

- Build microservices using Go.

- Design and optimize databases for high-volume telemetry and charging-session data.

- Build event-driven systems and data pipelines using Kafka or similar messaging systems.

- Work on real-time and batch processing workflows for telemetry, energy metrics, and analytics.

- Improve application reliability, performance, monitoring, and observability.

- Deploy and operate services using Docker and Kubernetes.

- Participate in system design, architecture discussions, code reviews, testing, and technical documentation.

- Mentor and support junior engineers when required.

Required Qualifications

- 3 - 5+ years of backend development experience building scalable APIs and microservices.

- Strong proficiency in Golang.

- Strong understanding of PostgreSQL, MongoDB, or other relational/NoSQL databases.

- Experience with query optimization, indexing, schema design, partitioning, or replication.

- Experience building event-driven or distributed systems using Kafka or similar messaging systems.

- Familiarity with GCP or other cloud platforms.

- Experience with Docker and Kubernetes.

- Experience with monitoring and observability tools such as Grafana, Kibana, or ELK.

- Strong understanding of system design, scalability, and performance optimization.

- Experience writing clean, maintainable, testable code with unit and integration tests.

Nice to Have

- Experience working with EV charging, energy management, mobility, or IoT platforms.

- Experience processing high-volume telemetry or time-series data.

- Experience with real-time data processing and analytics pipelines.

- Experience with WebSockets or other real-time communication protocols.

- Experience with CI/CD and production infrastructure.

- Experience working with distributed systems at scale.

Why Join Us

- Build backend infrastructure powering EV charging and energy platforms.

- Work on distributed systems, real-time data, and high-volume telemetry.

- Solve challenging problems around scalability, reliability, and performance.

- Take meaningful ownership of production systems and technical decisions.

Why this role exists 

Most systems work at a low scale. 

Very few survive real production load, complex workflows, and enterprise edge cases. 

We are building a platform that must: 

1. Scale from 500K → 20M+ interactions/month 
2. Handle complex insurance workflows reliably 
3. Become easier to deploy as it grows, not harder 
4.  
5. This role exists to build the backend foundation that makes this possible. 

What you’ll do 

You will not just write services. 

You will design and own core platform systems. 

1. Scale the platform without breaking architecture 

1. Scale from 50K → 4M+ interactions/month 
2. Ensure: 
3. High availability 
4. Low latency 
5. Fault tolerance 
6. Avoid large rewrites — build systems that evolve cleanly 

2. Build the workflow automation (WA) engine 

1. Design a flexible system with: 
2. States 
3. Stages 
4. Cohorts 
5. Dynamic workflows 
6. Ensure workflows: 
7. Handle edge cases reliably 
8. Can be configured easily 
9. Move from: 
10. Hardcoded flows → configurable execution engine 

3. Build the insurance-specific data layer 

1. Design data models for: 
2. Policy states 
3. Claim workflows 
4. Consent tracking 
5. Ensure the system works across: 
6. Multiple insurers 
7. Multiple use cases 
8. Build a platform-first data layer, not use-case-specific hacks 

4. Make deployment and setup simple 

1. Ensure workflows and data models are: 
2. Easy to configure 
3. Easy to launch 
4. Reduce friction for: 
5. Product teams 
6. Deployment teams 

5. Create a compounding data advantage 

1. Build a data layer that: 
2. Improves with every deployment 
3. Captures structured signals 
4. Ensure data becomes a long-term edge, not just storage 

6. Own production reliability 

1. Participate in on-call rotation across 3 engineers 
2. Ensure: 
3. Incidents are handled quickly 
4. Root causes are fixed permanently 
5. Build systems where reliability is shared, not individual 

What success looks like 

1. Platform scales to 2M+ interactions/month smoothly 
2. Workflow engine supports complex, dynamic use cases 
3. Data layer enables fast deployment across accounts 
4. Edge cases are handled without constant firefighting 
5. System becomes easier to use as it grows 
6. Production issues are rare and predictable 

Who you are 

1. You have built: 
2. Scalable systems 
3. Distributed services 
4. You think in: 
5. Systems 
6. Data models 
7. Trade-offs 
8. You are comfortable owning: 
9. Architecture 
10. Production systems 

What will make you stand out 

1. Experience building: 
2. Workflow engines 
3. State machines 
4. Data-heavy platforms 
5. Strong understanding of: 
6. System design 
7. Distributed systems 
8. Failure handling 
9. Experience working in: 
10. High-scale production environments 

Why join 

1. You will build the core backend of an AI platform 
2. Your work directly impacts: 
3. Scale 
4. Reliability 
5. Product capability 
6. You will design systems that move from: 
7. Use-case specific → platform-level infrastructure 

What this role is not 

1. Not just API development 
2. Not limited to feature-level work 
3. Not disconnected from production realities 

What this role is 

1. A system architect 
2. A builder of scalable platforms 
3. A driver of long-term technical advantage 

One question to self-evaluate 

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow? 

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

About the client

The client is building a suite of SaaS products for websites—products with clear product-market fit, strong customer pull, and the potential to become $100M+ businesses.

As they grow, they need engineers who go beyond feature delivery. They are looking for backend developers who want to build enduring systems, make practical decisions, and help us ship great products with high velocity.

What You’ll Do

• Work with product, design, and support teams to turn real customer problems into thoughtful, scalable solutions.
• Design and build robust backend systems, services, and APIs that prioritize long-term maintainability and performance.
• Use AI-assisted tooling (where appropriate) to explore solution trees, accelerate development, and reduce toil.
• Improve velocity across the team by building reusable tools, abstractions, and internal workflows—not just shipping isolated features.
• Dig into problems deeply—whether it's debugging a performance issue, streamlining a process, or questioning a product assumption.
• Document your decisions clearly and communicate trade-offs with both technical and non-technical stakeholders.

What Makes You a Strong Fit

• You’ve built and maintained real-world software systems, ideally at meaningful scale or complexity.
• You think in systems and second-order effects—not just in ticket-by-ticket outputs.
• You prefer well-reasoned defaults over overengineering.
• You take ownership—not just of code, but of the outcomes it enables.
• You work cleanly, write clear code, and make life easier for those who come after you.
• You’re curious about the why, not just the what—and you’re comfortable contributing to product discussions

Bonus if You Have Experience With

• Building tools or workflows that accelerate other developers.
• Working with AI coding tools and integrating them meaningfully into your workflow.
• Building for SaaS products, especially those with large user bases or self-serve motions.
• Working in small, fast-moving product teams with a high bar for ownership.

How’s the team?

• Open and flat hierarchy
• High-agency work with a get-stuff-done attitude
• Teams that focus on creating wins - for the org, the team and yourself - all fuelled by mentorship and empowerment

Our Culture

Some values we’ve lived by over these last 14 years:

We think like inventors.

>Invent the answer you wish existed. If it already exists, ask how it could exist better.<

We build for the love of it. And we build the best.

We don’t just copy and paste. We start from first principles—frame the problem, question the default, ship, improve, repeat—until it’s world-class.

Every version and experiment is a chance to push past our comfort zone and hone our craft. It isn’t easy—it takes patience and persistence—but it ends in work we’re proud of.

Ownership builds a rocket ship.

>It’s not the hours you put in your work that count; it’s the work you put in the hours.<

We’re here to build the business. When we see a problem, we own it end‑to‑end. We pull in the right people, ask for help early, track just enough to finish, and close the loop. We focus on what moves the needle, cut low‑impact work, and push hard when it counts—then recover.

That focus builds subject mastery. It helps get in the flow. It fuels passion and can spark healthy friction—and that’s all part of the game. We make a fuss when it matters, and once a call is made, we commit to it fully—whether we all agree or disagree.

Step up to stand tall.

>Greatness is a moving target.<

Chase excellence in your craft and take on bigger problems. Grow into a full-stack problem-solver and leader—whatever your domain. Improve with intent, work with people who push you, and never get too comfortable. That’s how we level up.

Benefits

• Relocation benefits - we’ll book your domestic travel if you are not in Bangalore and help you with 2 weeks of accommodation
• Homemade lunch at the office and a pantry with snacks, fresh coffee & tea
• All the IT essentials and tools you’ll need to be successful in your role, everyone at the office gets an external monitor, ergonomic seating and a mechanical keyboard
• Frequent outings, company-sponsored outdoor events, celebrations for milestones, trips for the entire team and sponsorships to participate at international company events at exotic destinations
• Profit-sharing bonuses based on company growth, tenure and performance
• Paid time off - maternity, paternity, and marriage leave
• Insurance for the whole family

Job Summary:

As a Software Development Engineer II in VoD Video Engineering team, you will design and build the core backend systems that power our Video-on-Demand platform — spanning content ingest, transcoding, adaptive bitrate packaging, and delivery at scale. You will own complex projects end-to-end, make meaningful architectural contributions, and play a hands-on role in raising the quality and reliability of our video processing infrastructure. This role is ideal for engineers who are passionate about distributed systems, media technology, and delivering exceptional streaming experiences to hundreds of millions of viewers.

About the Team:

VoD Video Engineering team is the backbone of our streaming platform — responsible for the entire lifecycle of on-demand video content, from ingest and transcoding through packaging, storage, and delivery. We own mission-critical systems that process thousands of hours of video daily, serving a global audience with reliability, low latency, and the highest quality of experience. Our team operates at the forefront of media technology, collaborating closely with CDN, playback, and content operations teams to continuously raise the bar on performance and scalability. If you're passionate about large-scale distributed systems and the technology behind modern video streaming, this is the team to be on.

Key responsibilities

• Design and build scalable, fault-tolerant backend services for video ingest, transcoding job orchestration, ABR packaging, and content delivery workflows.
• Own end-to-end delivery of complex VoD backend features — from technical design and implementation through deployment, monitoring, and operational handoff.
• Write high-quality, well-tested, and maintainable code; drive code review culture and champion engineering best practices within the team.
• Contribute to architectural decisions for the VoD platform, evaluating trade-offs across throughput, latency, cost, and reliability.
• Integrate VoD pipeline components with internal platform services including CMS, CDN origin, DRM/entitlement systems, and metadata APIs.
• Take ownership of production reliability: participate in on-call rotations, lead incident response, perform root cause analysis, and drive preventive improvements.
• Optimize video processing workflows for cost efficiency, throughput, and time-to-publish — including transcoding profile tuning and pipeline parallelism.
• Collaborate closely with Product Managers, content operations, and cross-functional engineering teams to translate requirements into robust technical solutions.
• Mentor junior engineers through code reviews, technical design discussions, and knowledge-sharing sessions; help grow the overall capability of the team.

Skills and attributes for success:

• 3+ years of professional backend software engineering experience, with a strong track record building and operating distributed systems in production.
• Proficiency in Go, Python, or Java with solid foundations in system design.
• Hands-on experience with cloud platforms (AWS preferred) — including compute, object storage (S3), managed queues (SQS/SNS), and serverless or containerized workloads.
• Solid understanding of distributed systems design: event-driven architectures, message queues (Kafka), workflow orchestration, and idempotency patterns.
• Experience with storage systems, caching strategies (Redis, Memcached), and database query performance tuning.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices.
• Comfort with observability tooling — logging, metrics, and tracing — and a habit of building production-ready services from day one.
• Strong communication skills — able to clearly articulate technical approaches and trade-offs to peers, leads, and non-technical stakeholders.
• Collaborative team player who takes pride in lifting up those around them through mentorship and knowledge sharing.

Preferred education and experience:

• Bachelors/Master’s in computer science or a related field with 3+ years of experience in backend development

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a Senior Golang Engineer to spearhead the development of our next-generation cybersecurity AI platform. In this role, you will build and scale robust backend systems to solve complex, high-impact technical challenges.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Golang Engineer, you will architect and build the backend systems that make this transformation real. Your work will influence not only the evolution of our platform, but also how an entire industry adapts to and leverages AI‑driven security. This is a chance to solve novel technical challenges while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design and develop scalable backend services and REST APIs using Golang.

●    Architect and maintain microservices-based systems.

●    Perform rigorous debugging and system performance optimization.

●    Integrate services with Opensearch, Elasticsearch, and Sumo APIs.

●    Manage and optimize data interactions with SQL databases.

Impact You’ll Have

●    Build the foundational infrastructure that enables real-time AI-driven threat detection.

●    Ensure the reliability and performance of critical security systems under high-load scenarios.

●    Directly contribute to the resilience of global critical infrastructure by shipping secure and efficient code.

Required Experience

●    4-8+ years of experience in Golang and REST APIs

●    Extensive experience in professional backend software development.

●    Proven track record of designing and deploying distributed systems at scale.

●    Demonstrated experience optimizing performance for data-intensive applications.

●    Proven experience leading or architecting large-scale distributed systems and driving technical strategy.

Required Skills & Qualifications

●    Expertise in Golang development.

●    Deep experience building Backend/REST APIs.

●    Proficiency in Python.

●    Strong understanding of Microservice architecture.

●    Experience with SQL databases.

●    Experience with Opensearch, Elasticsearch, or Sumo APIs.

●    Strong capabilities in debugging and performance optimization.

Nice to Have

●    Knowledge of Identity, Authentication, and Authorization protocols (OAuth, SAML, JWT).

●    Experience working in Linux environments.

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.